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  • Springer  (185,425)
  • American Institute of Physics (AIP)  (29,098)
  • BioMed Central  (15,049)
  • PANGAEA  (13,624)
  • 2010-2014  (243,196)
  • 2000-2004
  • 1955-1959
  • 2013  (131,276)
  • 2011  (111,920)
Collection
Keywords
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Years
  • 2010-2014  (243,196)
  • 2000-2004
  • 1955-1959
Year
  • 201
    Publication Date: 2023-03-16
    Keywords: Archive of Ocean Data; ARCOD; Barium; Cadmium; Calcium; Calculated; Copper; Ekolog-2004-9; Lead; Magnesium; Manganese; MULT; Multiple investigations; Potassium; Sodium; Strontium; White Sea; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 63 data points
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  • 202
    Publication Date: 2023-03-16
    Keywords: Akademik Mstislav Keldysh; AMK53; AMK53-4930; AMK53-4934; AMK53-4936; AMK53-4941; AMK53-4944; Archive of Ocean Data; ARCOD; Carbon, flux per year; Date/Time of event; Date/Time of event 2; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; Percentage; Species; Trap, sediment; TRAPS; White Sea
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
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  • 203
    Publication Date: 2023-03-16
    Keywords: AWI_Coast; AWI Arctic Land Expedition; BK08-02; BK08-03; BK08-04; BK08-08; BK08-09; BK08-10; BK08-11; BK08-12; BK08-13; BK08-15; BK08-16; BK08-17; BK08-18; BK08-19; BK08-20; BK08-21; Campaign of event; Classification; Coastal Ecology @ AWI; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, sediment/rock; Elevation of event; Event label; L09-02; L09-03; L09-04; L09-05; L09-07; L09-09; L09-10; L09-13; L09-14; L09-15; L09-16; L09-18; L09-21; L09-22; L09-23; L09-24; L09-25; L09-26; L09-27; L09-29; L09-31; L09-32; L09-33; L09-34; Laptev Sea; Latitude of event; Lena2008; Lena2009; Lena2010; Lena Delta, Siberia, Russia; Longitude of event; Methane; RU-Land_2008_Lena; RU-Land_2009_Lena; RU-Land_2010_Lena; T1-10-01; T1-10-02; T1-10-03; T1-10-04; T1-10-05; T1-10-06; T1-10-07; T2-10-01; T2-10-02; T2-10-03; T2-10-04; T2-10-05; T3-10-01; T3-10-02; T3-10-03; T3-10-04; T3-10-05; T5-10-01; T5-10-02; T5-10-03; T6-10-01; T6-10-02; T6-10-03; T8-10-01; T8-10-02; T8-10-03; Water sample; WS; δ13C, methane
    Type: Dataset
    Format: text/tab-separated-values, 322 data points
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  • 204
    Publication Date: 2023-03-16
    Keywords: AGE; Archive of Ocean Data; ARCOD; Ash; Conductivity; Conductometry; Digging pit; DPIT; East Siberia; Gravimetric analysis; KBrb; pH; Potentiometric
    Type: Dataset
    Format: text/tab-separated-values, 249 data points
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  • 205
    Publication Date: 2023-03-16
    Keywords: Age, 14C benzol synthesis; Age, dated; Age, dated standard deviation; Archive of Ocean Data; ARCOD; Calculated; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Digging pit; DPIT; East Siberia; KBrb
    Type: Dataset
    Format: text/tab-separated-values, 48 data points
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  • 206
    Publication Date: 2023-03-16
    Keywords: AGE; Archive of Ocean Data; ARCOD; Atomic absorption spectrometry (AAS); Copper; Digging pit; DPIT; East Siberia; KBrb; Lead; Manganese; Nickel; Photometry; Strontium; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 485 data points
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  • 207
    Publication Date: 2023-03-16
    Keywords: Age, maximum/old; Age, minimum/young; Archive of Ocean Data; ARCOD; Calculated; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Digging pit; DPIT; East Siberia; KBrb; Sedimentation rate per year
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 208
    Publication Date: 2023-03-16
    Keywords: Archive of Ocean Data; ARCOD; Ash; Calculated; Conductivity; Conductivity, standard deviation; Conductometry; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Digging pit; DPIT; East Siberia; Gravimetric analysis; KBrb; Oxidation reduction (RedOx) potential; Oxidation reduction (RedOx) potential, standard deviation; pH; pH, standard deviation; Potentiometric; Sample type
    Type: Dataset
    Format: text/tab-separated-values, 127 data points
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  • 209
    Publication Date: 2023-03-16
    Keywords: AWI_Coast; Coastal Ecology @ AWI; Date/Time of event; DB; Diedrichsenbank; Event label; HAND; Latitude of event; Longitude of event; Oddewatt; Operational taxonomic unit; OW; PK; Puan Klent; Sample code/label; Sampling by hand; Sylter Wattenmeer; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 19782 data points
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  • 210
    Publication Date: 2023-03-16
    Keywords: Allele lengths locus; AWI_Coast; Coastal Ecology @ AWI; Date/Time of event; DB; Diedrichsenbank; Event label; HAND; Latitude of event; Longitude of event; Oddewatt; OW; PK; Puan Klent; Sample code/label; Sampling by hand; Sylter Wattenmeer; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 435 data points
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  • 211
    Publication Date: 2023-03-16
    Keywords: AWI_Coast; Coastal Ecology @ AWI; Date/Time of event; DB; Diedrichsenbank; Event label; HAND; Latitude of event; Longitude of event; Oddewatt; Operational taxonomic unit; OW; PK; Puan Klent; Sample code/label; Sampling by hand; Sylter Wattenmeer; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 26628 data points
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  • 212
    Publication Date: 2023-03-16
    Keywords: AWI_Coast; AWI Arctic Land Expedition; Coastal Ecology @ AWI; CTD; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Laptev Sea; Latitude of event; Lena2010; Longitude of event; Oxygen saturation; pH; RU-Land_2010_Lena; Salinity; T1-10-01; T1-10-02; T1-10-03; T1-10-04; T1-10-05; T1-10-06; T1-10-07; T2-10-01; T2-10-02; T2-10-03; T2-10-04; T2-10-05; T2-10-06; T3-10-01; T3-10-02; T3-10-03; T3-10-04; T3-10-05; T4-10-01; T4-10-02; T4-10-03; T4-10-04; T4-10-05; Temperature, water; Transmission of light
    Type: Dataset
    Format: text/tab-separated-values, 3586 data points
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  • 213
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    Unknown
    PANGAEA
    In:  Supplement to: Faß, Thorsten (2004): Hydrogeologie im Aguima Einzugsgebiet in Benin/Westafrika. Dissertation, Mathematisch–Naturwissenschaftliche Fakultät der Rheinischen Friedrich-Wilhelms-Universität Bonn, 137 pp, urn:nbn:de:hbz:5n-03849
    Publication Date: 2023-03-09
    Description: Focus of this study is the analysis of a local hydrogeological system in the subhumid outer tropics in the western African country of Benin. The aim was to characterize, qualify and quantify the hydrogeological and hydrological properties of the approx. 30 km2 big study area and to develop a conceptual hydrogeological model. This model should provide the basis for further studies on a regional scale. The main goal was to obtain the process knowledge of the hydrogeological system and to determine the process and the quantity of the groundwater recharge in the working area. According to the objectives, a broad hydrogeological approach was chosen. In a spacious network on the local scale TDR probes, suction cups and groundwater observation bores were installed. Also in a multidisciplinary cooperation with hydrology, geography, soil science, biology, meteorology and plant nutrition sciences, instruments like discharge gauging stations, tensiometers, lysimeter, climate stations, runoff plots and erosion pins were installed in the test site for the investigation of the relevant parameters of the hydrological cycle.
    Keywords: Global Change and the Hydrological Cycle; GLOWA
    Type: Dataset
    Format: application/zip, 8 datasets
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  • 214
    Publication Date: 2023-03-09
    Keywords: Benin, West Africa; Color description; Comment; Depth, bottom/max; Depth, top/min; DRILL; Drilling/drill rig; Drilling progress; Event label; Global Change and the Hydrological Cycle; GLOWA; GWB1; GWB2; GWB3; Hardness description; ID 216; ID 217; ID 253; Identification; IMPETUS; Lithology/composition/facies; Number; Sample comment; Technology; Visual description
    Type: Dataset
    Format: text/tab-separated-values, 283 data points
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  • 215
    Publication Date: 2023-03-07
    Keywords: Abundance per volume; Aegaeo; Aegean Sea; Bottle, Niskin 8-L; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Latitude of event; Longitude of event; NIS_8L; O91; O91-GN3619910270124405wp3; O91-GN3619910270124502wp3; O91-GN3619910270124603wp3; O91-GN3619910270124702wp3; O91-GN3619910270124830; O91-GN3619910270124830wp3; O91-GN3619910270125202wp3; O91-GN3619910270125307wp3; O91-GN3619910270125810wp3; O91-GN3619910270126002wp3; O91-GN3619910270126102wp3; O91-GN3619910270126203wp3; O91-GN3619910270126404wp3; O91-GN3619910270126502wp3; O91-GN3619910270126605wp3; O91-GN3619910270126704wp3; O91-GN3619910270126804wp3; O91-GN3619910270126811wp3; O91-GN3619910270136903wp3; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes; Taxon/taxa; Uniform resource locator/link to reference; WP3; WP-3 towed closing plankton net
    Type: Dataset
    Format: text/tab-separated-values, 400 data points
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  • 216
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    Unknown
    PANGAEA
    In:  The Centre for Environment Fisheries and Aquaculture Science, Lowestoft | Supplement to: Pinnegar, John Keith; Goñi, Nicolas; Trenkel, Verena M; Arrizabalaga, Haritz; Melle, Webjørn; Keating, James; Óskarsson, Guomundur J (2015): A new compilation of stomach content data for commercially important pelagic fish species in the northeast Atlantic. Earth System Science Data, 7(1), 19-28, https://doi.org/10.5194/essd-7-19-2015
    Publication Date: 2023-03-07
    Description: Fish stomach content records extracted from the DAPSTOM 4.5 database (held at the UK Centre for Environment, Fisheries and Aquaculture Science - CEFAS). Data collated as part of the EU Euro-Basin project and specifically concerning herring (Clupea harengus), mackerel (Scomber scombrus), blue whiting (Micromesistius poutassou), albacore (Thunnus alalunga) and bluefin tuna (Thunnus thynnus). The data set consist of 20720 records - collected throughout the northeast Atlantic, between 1906 and 2011 - mostly during routine fisheries monitoring research cruises.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Beach seine; BEAM; Beam trawl; Biscay; ICES Retangle = 16E6; sub-area = VIII; division = VIIIc; Biscay; ICES Retangle = 16E7; sub-area = VIII; division = VIIId; Biscay; ICES Retangle = 17E7; sub-area = VIII; division = VIIId; Biscay; ICES Retangle = 18E7; sub-area = VIII; division = VIIId; Biscay; ICES Retangle = 19E7; sub-area = VIII; division = VIIId; Biscay; ICES Retangle = 20E6; sub-area = VIII; division = VIIIb; Biscay; ICES Retangle = 20E6; sub-area = VIII; division = VIIId; Biscay; ICES Retangle = 21E6; sub-area = VIII; division = VIIIa; Biscay; ICES Retangle = 21E6; sub-area = VIII; division = VIIId; Biscay; ICES Retangle = 21E7; sub-area = VIII; division = VIIId; Biscay; ICES Retangle = 22E5; sub-area = VIII; division = VIIIa; Biscay; ICES Retangle = 22E6; sub-area = VIII; division = VIIIa; Biscay; ICES Retangle = 22E6; sub-area = VIII; division = VIIId; Biscay; ICES Retangle = 23E2; sub-area = VIII; division = VIIIa; Biscay; ICES Retangle = 23E3; sub-area = VIII; division = VIIId; Biscay; ICES Retangle = 23E4; sub-area = VIII; division = VIIIa; Biscay; ICES Retangle = 23E6; sub-area = VIII; division = VIIIa; Biscay; ICES Retangle = 24E2; sub-area = VIII; division = VIIIa; Biscay; ICES Retangle = 24E4; sub-area = VIII; division = VIIIa; Biscay; ICES Retangle = 24E5; sub-area = VIII; division = VIIIa; BSE; BULLEN-1906-64; BULLEN-1906-65; BULLEN-1906-66; BULLEN-1906-67; BULLEN-1906-68; BULLEN-1906-69; BULLEN-1906-70; BULLEN-1906-71; BULLEN-1906-72; BULLEN-1906-73; BULLEN-1906-74; BULLEN-1906-75; BULLEN-1907-100; BULLEN-1907-101; BULLEN-1907-102; BULLEN-1907-103; BULLEN-1907-104; BULLEN-1907-105; BULLEN-1907-106; BULLEN-1907-107; BULLEN-1907-108; BULLEN-1907-109; BULLEN-1907-110; BULLEN-1907-111; BULLEN-1907-112; BULLEN-1907-114; BULLEN-1907-115; BULLEN-1907-116; BULLEN-1907-117; BULLEN-1907-118; BULLEN-1907-119; BULLEN-1907-120; BULLEN-1907-121; BULLEN-1907-122; BULLEN-1907-123; BULLEN-1907-124; BULLEN-1907-125; BULLEN-1907-126; BULLEN-1907-127; BULLEN-1907-128; BULLEN-1907-129; BULLEN-1907-130; BULLEN-1907-131; BULLEN-1907-132; BULLEN-1907-133; BULLEN-1907-134; BULLEN-1907-135; BULLEN-1907-136; BULLEN-1907-137; BULLEN-1907-138; BULLEN-1907-139; BULLEN-1907-140; BULLEN-1907-141; BULLEN-1907-76; BULLEN-1907-77; BULLEN-1907-78; BULLEN-1907-79; BULLEN-1907-80; BULLEN-1907-81; BULLEN-1907-82; BULLEN-1907-83; BULLEN-1907-84; BULLEN-1907-85; BULLEN-1907-86; BULLEN-1907-88; BULLEN-1907-89; BULLEN-1907-90; BULLEN-1907-91; BULLEN-1907-92; BULLEN-1907-93; BULLEN-1907-94; BULLEN-1907-95; BULLEN-1907-96; BULLEN-1907-97; BULLEN-1907-98; BULLEN-1907-99; Celtic Sea; ICES Retangle = 25E0; sub-area = VII; division = VIIj; Celtic Sea; ICES Retangle = 25E1; sub-area = VII; division = VIIh; Celtic Sea; ICES Retangle = 25E2; sub-area = VII; division = VIIh; Celtic Sea; ICES Retangle = 25E3; sub-area = VII; division = VIIh; Celtic Sea; ICES Retangle = 26E1; sub-area = VII; division = VIIh; Celtic Sea; ICES Retangle = 27D9; sub-area = VII; division = VIIj; Celtic Sea; ICES Retangle = 27E0; sub-area = VII; division = VIIj; Celtic Sea; ICES Retangle = 27E1; sub-area = VII; division = VIIh; Celtic Sea; ICES Retangle = 27E2; sub-area = VII; division = VIIh; Celtic Sea; ICES Retangle = 27E3; sub-area = VII; division = VIIh; Celtic Sea; ICES Retangle = 27E4; sub-area = VII; division = VIIh; Celtic Sea; ICES Retangle = 28D8; sub-area = VII; division = VIIj; Celtic Sea; ICES Retangle = 28D9; sub-area = VII; division = VIIj; Celtic Sea; ICES Retangle = 28E0; sub-area = VII; division = VIIj; Celtic Sea; ICES Retangle = 28E2; sub-area = VII; division = VIIh; Celtic Sea; ICES Retangle = 29D8; sub-area = VII; division = VIIj; Celtic Sea; ICES Retangle = 29D9; sub-area = VII; division = VIIj; Celtic Sea; ICES Retangle = 29E1; sub-area = VII; division = VIIg; Celtic Sea; ICES Retangle = 29E2; sub-area = VII; division = VIIg; Celtic Sea; ICES Retangle = 30D9; sub-area = VII; division = VIIj; Celtic Sea; ICES Retangle = 30E0; sub-area = VII; division = VIIj; Celtic Sea; ICES Retangle = 30E2; sub-area = VII; division = VIIg; Celtic Sea; ICES Retangle = 30E3; sub-area = VII; division = VIIg; Celtic Sea; ICES Retangle = 30E4; sub-area = VII; division = VIIf; Celtic Sea; ICES Retangle = 31D8; sub-area = VII; division = VIIj; Celtic Sea; ICES Retangle = 31D9; sub-area = VII; division = VIIj; Celtic Sea; ICES Retangle = 31E0; sub-area = VII; division = VIIj; Celtic Sea; ICES Retangle = 31E2; sub-area = VII; division = VIIg; Celtic Sea; ICES Retangle = 31E3; sub-area = VII; division = VIIg; Celtic Sea; ICES Retangle = 31E4; sub-area = VII; division = VIIg; Celtic Sea; ICES Retangle = 31E5; sub-area = VII; division = VIIf; Celtic Sea; ICES Retangle = 32D8; sub-area = VII; division = VIIj; Celtic Sea; ICES Retangle = 32D9; sub-area = VII; division = VIIj; Celtic Sea; ICES Retangle = 32E3; sub-area = VII; division = VIIg; Celtic Sea; ICES Retangle = 32E4; sub-area = VII; division = VIIg; Celtic Sea; ICES Retangle = 33D8; sub-area = VII; division = VIIj; CEND02-09-10; CEND02-09-12; CEND02-09-13; CEND02-09-14; CEND02-09-16; CEND02-09-17; CEND02-09-18; CEND02-09-22; CEND02-09-24; CEND02-09-25; CEND02-09-28; CEND02-09-38; CEND02-09-51; CEND02-09-9; CEND-04-10-1; CEND-04-10-105; CEND-04-10-106; CEND-04-10-107; CEND-04-10-13; CEND-04-10-14; CEND-04-10-15; CEND-04-10-17; CEND-04-10-2; CEND-04-10-24; CEND-04-10-25; CEND-04-10-26; CEND-04-10-27; CEND-04-10-34; CEND-04-10-35; CEND-04-10-36; CEND-04-10-37; CEND-04-10-4; CEND-04-10-43; CEND-04-10-44; CEND-04-10-45; CEND-04-10-46; CEND-04-10-47; CEND-04-10-5; CEND-04-10-53; CEND-04-10-55; CEND-04-10-56; CEND-04-10-57; CEND-04-10-59; CEND-04-10-6; CEND-04-10-60; CEND-04-10-61; CEND-04-10-69; CEND-04-10-7; CEND-04-10-70; CEND-04-10-71; CEND-04-10-72; CEND-04-10-73; CEND-04-10-79; CEND-04-10-8; CEND-04-10-80; CEND-04-10-81; CEND-04-10-84; CEND-04-10-87; CEND-04-10-88; CEND-04-10-89; CEND-04-10-9; CEND-04-10-94; CEND-04-10-95; CEND-04-10-96; CEND-04-10-97; CEND-04-10-98; CEND-04-11-1; CEND-04-11-11; CEND-04-11-12; CEND-04-11-13; CEND-04-11-15; CEND-04-11-17; CEND-04-11-18; CEND-04-11-19; CEND-04-11-2; CEND-04-11-20; CEND-04-11-21; CEND-04-11-22; CEND-04-11-23; CEND-04-11-24; CEND-04-11-25; CEND-04-11-26; CEND-04-11-27; CEND-04-11-29; CEND-04-11-3; CEND-04-11-30; CEND-04-11-31; CEND-04-11-32; CEND-04-11-33; CEND-04-11-34; CEND-04-11-35; CEND-04-11-36; CEND-04-11-37; CEND-04-11-38; CEND-04-11-39; CEND-04-11-41; CEND-04-11-42; CEND-04-11-43; CEND-04-11-44; CEND-04-11-45; CEND-04-11-46; CEND-04-11-49; CEND-04-11-50; CEND-04-11-52; CEND-04-11-53; CEND-04-11-54; CEND-04-11-56; CEND-04-11-57; CEND-04-11-6; CEND-04-11-60; CEND-04-11-62; CEND-04-11-63; CEND-04-11-65; CEND-04-11-66; CEND-04-11-67; CEND-04-11-69; CEND-04-11-7; CEND-04-11-70; CEND-04-11-71; CEND-04-11-72; CEND-04-11-73; CEND-04-11-75; CEND-04-11-76; CEND-04-11-78; CEND-04-11-8; CEND-04-11-80; CEND-04-11-82; CEND-04-11-83; CEND-04-11-85; CEND-04-11-87; CEND-04-11-9; CEND-04-11-90; CEND-04-11-91; CEND-19-11-10; CEND-19-11-13; CEND-19-11-14; CEND-19-11-18; CEND-19-11-20; CEND-19-11-21; CEND-19-11-24; CEND-19-11-25; CEND-19-11-34; CEND-19-11-36; CEND-19-11-37; CEND-19-11-40; CEND-19-11-42; CEND-19-11-76; CEND-19-11-8; CEND-19-11-83; CIROL03-86-27; CIROL03-86-28; CIROL03-86-30; CIROL03-86-31; CIROL03-86-34; CIROL03-86-36; CIROL03-86-38; CIROL03-86-40; CIROL03-86-41; CIROL03-86-54; CIROL03-86-55; CIROL03-86-56; CIROL03-86-57; CIROL03-86-58; CIROL03-86-59; CIROL03-86-67; CIROL03-86-68; CIROL03-86-69; CIROL03-86-70; CIROL03-86-93; CIROL03-86-95; CIROL03-87-1; CIROL03-87-10; CIROL03-87-13; CIROL03-87-14; CIROL03-87-2; CIROL03-87-20; CIROL03-87-22; CIROL03-87-28; CIROL03-87-29; CIROL03-87-3; CIROL03-87-39; CIROL03-87-43; CIROL03-87-44; CIROL03-87-5; CIROL03-87-51; CIROL03-87-57; CIROL03-87-6; CIROL03-87-7; CIROL03-87-8; CIROL03-91-10; CIROL03-91-11; CIROL03-91-15; CIROL03-91-16; CIROL03-91-18; CIROL03-91-19; CIROL03-91-2; CIROL03-91-20; CIROL03-91-21; CIROL03-91-
    Type: Dataset
    Format: text/tab-separated-values, 227043 data points
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  • 217
    Publication Date: 2023-03-08
    Keywords: Bacillariophyceae; Bottle, Niskin 5-L; bottle/B1; bottle/B2; Ciliates, aloricate; Coccolithophoridae; Date/Time of event; DEPTH, water; Dinoflagellates; Dinophyceae; ECO2; ECO2-7; ECO2-7-14; ECO2-7-4; Epifluorescence microscopy; Event label; Latitude of event; Longitude of event; Metazoa; Microscopy; Microzooplankton; Microzooplankton, other; NIS_5L; Panarea; Phytoflagellate; Phytoplankton; Prokaryotes, autotroph; Prokaryotes, heterotroph; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Tintinnid
    Type: Dataset
    Format: text/tab-separated-values, 78 data points
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  • 218
    Publication Date: 2023-03-08
    Keywords: Bacillariophyceae; Bottle, Niskin 5-L; bottle/B1; bottle/B2; Ciliates, aloricate; Coccolithophoridae; Date/Time of event; DEPTH, water; Dinoflagellates; Dinophyceae; ECO2; ECO2-6; ECO2-6-18; ECO2-6-5; Elevation of event; Epifluorescence microscopy; Event label; Latitude of event; Longitude of event; Metazoa; Microscopy; Microzooplankton; Microzooplankton, other; NIS_5L; Panarea; Phytoflagellate; Phytoplankton; Prokaryotes, autotroph; Prokaryotes, heterotroph; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Tintinnid
    Type: Dataset
    Format: text/tab-separated-values, 66 data points
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  • 219
    Publication Date: 2023-03-08
    Keywords: beta-glucosidase activity; Bottle, Niskin 5-L; bottle/B1; bottle/B2; Date/Time of event; DEPTH, water; ECO2; ECO2-6; ECO2-6-20; ECO2-6-7; Elevation of event; Event label; Latitude of event; Longitude of event; NIS_5L; Panarea; Phosphatase activity; Protease activity; Spectrofluorometry; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
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  • 220
    Publication Date: 2023-03-08
    Keywords: Bottle, Niskin 5-L; bottle/B1; bottle/B2; Date/Time of event; DEPTH, water; ECO2; ECO2-7; ECO2-7-15; ECO2-7-5; Event label; Incorporation of radioactive label (Smith and Azam, 1992); Latitude of event; Longitude of event; NIS_5L; Panarea; Prokaryotes, production; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
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  • 221
    Publication Date: 2023-03-08
    Keywords: Biopolymeric carbon, carbon equivalents; Carbohydrates, colloidal, carbon equivalents; Carbohydrates, EDTA-extractable, carbon equivalents; DEPTH, sediment/rock; ECO2; ECO2-6; ECO2-6-33; ECO2-6-36; ECO2-6-48; ECO2-6-56; ECO2-6-62; Elevation of event; Event label; Latitude of event; Lipids, carbon equivalents; Longitude of event; Panarea; Proteins, carbon equivalents; PUC; Push corer; push corer/B1; push corer/B2; push corer/B3; push corer/Corpi morti Cold; push corer/Corpi morti Hot; Spectrophotometry; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 25 data points
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  • 222
    Publication Date: 2023-03-08
    Keywords: Bottle, Niskin 5-L; bottle/B1; bottle/B2; bottle/LB1; bottle/LB2; bottle/LB3; bottle/LB4; bottle/LB5; bottle/LB6; bottle/LB7; Date/Time of event; DEPTH, water; ECO2; ECO2-4; ECO2-4-13; ECO2-4-22; ECO2-4-32; ECO2-4-39; ECO2-4-49; ECO2-4-56; ECO2-4-63; ECO2-4-70; ECO2-4-77; Elevation of event; Event label; Incorporation of radioactive label (Smith and Azam, 1992); Latitude of event; Longitude of event; NIS_5L; Panarea; Prokaryotes, production; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 21 data points
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  • 223
    Publication Date: 2023-03-08
    Keywords: Bacillariophyceae; Bottle, Niskin 5-L; bottle/B1; bottle/B2; bottle/LB1; bottle/LB2; bottle/LB3; bottle/LB4; bottle/LB5; bottle/LB6; bottle/LB7; Ciliates, aloricate; Coccolithophoridae; Date/Time of event; DEPTH, water; Dinoflagellates; Dinophyceae; ECO2; ECO2-4; ECO2-4-12; ECO2-4-21; ECO2-4-31; ECO2-4-38; ECO2-4-48; ECO2-4-55; ECO2-4-62; ECO2-4-69; ECO2-4-76; Elevation of event; Epifluorescence microscopy; Event label; Latitude of event; Longitude of event; Metazoa; Microscopy; Microzooplankton; Microzooplankton, other; NIS_5L; Optional event label; Panarea; Phytoflagellate; Phytoplankton; Prokaryotes, autotroph; Prokaryotes, heterotroph; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Tintinnid
    Type: Dataset
    Format: text/tab-separated-values, 261 data points
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  • 224
    facet.materialart.
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    PANGAEA
    In:  Hellenic Center of Marine Research, Institut of Oceanography, Greece
    Publication Date: 2023-03-07
    Keywords: Aegaeo; Aegean Sea; Bottle, Niskin 8-L; Chlorophyll, fluorometric determination (Holm-Hansen et al., 1965); Chlorophyll a; Date/Time of event; DEPTH, water; Event label; Latitude of event; LIA09; LIA-9-GN3619890010928401; LIA-9-GN3619890010928502; LIA-9-GN3619890010929501; LIA-9-GN3619890010929502; LIA-9-GN3619890010980501; LIA-9-GN3619890010980503; Longitude of event; NIS_8L; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes
    Type: Dataset
    Format: text/tab-separated-values, 41 data points
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  • 225
    facet.materialart.
    Unknown
    PANGAEA
    In:  Hellenic Center of Marine Research, Institut of Oceanography, Greece
    Publication Date: 2023-03-07
    Keywords: Aegaeo; Aegean Sea; Bottle, Niskin 8-L; Chlorophyll, fluorometric determination (Holm-Hansen et al., 1965); Chlorophyll a; Date/Time of event; DEPTH, water; Event label; Latitude of event; LIA08; LIA-8-GN3619880010825206; LIA-8-GN3619880010825301; LIA-8-GN3619880010825310; LIA-8-GN3619880010825702; LIA-8-GN3619880010826301; LIA-8-GN3619880010826406; LIA-8-GN3619880010826509; LIA-8-GN3619880010826702; LIA-8-GN3619880010826709; LIA-8-GN3619880010826904; LIA-8-GN3619880010827101; LIA-8-GN3619880010827401; LIA-8-GN3619880010827501; LIA-8-GN3619880010827601; LIA-8-GN3619880010827602; LIA-8-GN3619880010828003; LIA-8-GN3619880010828104; LIA-8-GN3619880010828401; LIA-8-GN3619880010828406; LIA-8-GN3619880010828407; LIA-8-GN3619880010828501; LIA-8-GN3619880010828502; LIA-8-GN3619880010828504; LIA-8-GN3619880010828601; LIA-8-GN3619880010828602; LIA-8-GN3619880010829002; LIA-8-GN3619880010829301; LIA-8-GN3619880010829401; LIA-8-GN3619880010829402; LIA-8-GN3619880010829501; LIA-8-GN3619880010829502; LIA-8-GN3619880010839901; LIA-8-GN3619880010880401; LIA-8-GN3619880010880501; LIA-8-GN3619880010880502; LIA-8-GN3619880010890901; LIA-8-GN36198800108ETHA; Longitude of event; NIS_8L; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes
    Type: Dataset
    Format: text/tab-separated-values, 287 data points
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  • 226
    Publication Date: 2023-03-07
    Keywords: Abundance per volume; APRIL-1997-GN3619970125wp2; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Latitude of event; Longitude of event; MARCH-1997-GN36199704601MSB01wp2; MARCH-1997-GN36199704601MSB02wp2; MARCH-1997-GN36199704601MSB06wp2; MARCH-1997-GN36199704601MSB07wp2; MARCH-1997-GN36199704603MNB01wp2; MARCH-1997-GN36199704603MNB02wp2; MARCH-1997-GN36199704603MNB03wp2; MARCH-1997-GN36199704603MNB04wp2; MARCH-1997-GN36199704603MNB05wp3; MARCH-1997-GN36199704603MNB06wp2; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes; Taxon/taxa; Uniform resource locator/link to reference; WP2; WP-2 towed closing plankton net; WP3; WP-3 towed closing plankton net
    Type: Dataset
    Format: text/tab-separated-values, 175 data points
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  • 227
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    PANGAEA
    In:  SIO7 Data Center, J-CORES Database; Ocean Drilling Program, Center for Deep Earth Exploration (JAMSTEC)
    Publication Date: 2023-03-03
    Keywords: 343-C0019C; Chikyu; DEPTH, sediment/rock; DRILL; Drilling/drill rig; Exp343; HNGS Standard total Gamma Ray; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Japan Trench Fast Drilling Project; Logging-While-Drilling, arcVISION; Logging-While-Drilling, geoVISION; Pressure, annular; Resistivity, Average Deep Button; Resistivity, Average Medium Button; Resistivity, Bit; Resistivity, Ring; Temperature, annular; Time Stamp
    Type: Dataset
    Format: text/tab-separated-values, 3740 data points
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  • 228
    facet.materialart.
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    PANGAEA
    In:  SIO7 Data Center, J-CORES Database; Ocean Drilling Program, Center for Deep Earth Exploration (JAMSTEC)
    Publication Date: 2023-03-03
    Keywords: 343-C0019D; Chikyu; Comment; Depth, bottom/max; Depth, top/min; DRILL; Drilling/drill rig; Exp343; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Japan Trench Fast Drilling Project; Material; Sample method; Sample repository; Sample volume
    Type: Dataset
    Format: text/tab-separated-values, 7 data points
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  • 229
    facet.materialart.
    Unknown
    PANGAEA
    In:  SIO7 Data Center, J-CORES Database; Ocean Drilling Program, Center for Deep Earth Exploration (JAMSTEC)
    Publication Date: 2023-03-03
    Keywords: 343-C0019B; Chikyu; DEPTH, sediment/rock; DRILL; Drilling/drill rig; Exp343; HNGS Standard total Gamma Ray; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Japan Trench Fast Drilling Project; Logging-While-Drilling, arcVISION; Logging-While-Drilling, geoVISION; Pressure, annular; Resistivity, Average Deep Button; Resistivity, Average Medium Button; Resistivity, Average Shallow Button; Resistivity, Bit; Resistivity, Ring; Temperature, annular; Time Stamp
    Type: Dataset
    Format: text/tab-separated-values, 55545 data points
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  • 230
    Publication Date: 2023-03-10
    Keywords: Carbon dioxide, partial pressure; CO2S; CO2 Sensor; DATE/TIME; DEPTH, water; ECO2; ECO2-6; ECO2-6-72; ECO2-6-73; Elevation of event; Event label; GasPro-pCO2 sensor; Panarea; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Temperature, water; Video Exp \ pCO2 monitoring
    Type: Dataset
    Format: text/tab-separated-values, 152 data points
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  • 231
    Publication Date: 2023-03-10
    Keywords: Benthic Chamber; Benthic Flux\Cold1 ExpA; Benthic Flux\Cold1 ExpB; Benthic Flux\Hot1 ExpA; Benthic Flux\Hot1 ExpB; Benthic Flux\Hot2 ExpB; Benthic Flux\Hot3 ExpB; Carbon dioxide, partial pressure; CHAM; DATE/TIME; DEPTH, sediment/rock; ECO2; ECO2-6; ECO2-6-1; ECO2-6-2; ECO2-6-50; ECO2-6-51; ECO2-6-52; ECO2-6-58; Elevation of event; Event label; GasPro-pCO2 sensor; Panarea; Sample code/label; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1032 data points
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  • 232
    Publication Date: 2023-03-09
    Keywords: Global Change and the Hydrological Cycle; GLOWA; Morocco; Morocco, North Africa
    Type: Dataset
    Format: unknown
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  • 233
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    PANGAEA
    Publication Date: 2023-03-09
    Keywords: Benin, West Africa; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; FE01; FE02; Global Change and the Hydrological Cycle; GLOWA; ID 150; ID 161; ID 166; ID 167; ID 169; ID 170; ID 171; ID 172; ID 174; ID 176; ID 177; ID 178; ID 179; ID 180; ID 187; ID 188; ID 189; ID 19; ID 190; ID 191; ID 192; ID 201; ID 202; ID 203; IMPETUS; Size fraction 〈 0.002 mm, clay; Size fraction 0.063-0.002 mm, silt, mud; Size fraction 2.000-0.063 mm, sand; Soil type; TD05; TD06; TD07; TD08; TD09; TD10; TD11; TD13; TD14; TD15; TD16; TD17; TD18; TD19; TD20; TD21; TD22; TD23; TD24; TD28; TD29; TD30; TDR; Time domain reflectometer; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 477 data points
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  • 234
    Publication Date: 2023-03-09
    Keywords: ADJ-2; B076; BAKU; Bassila; BDOG1; BDOG2; BDOG3; Benin, West Africa; BG-2; BODI; BRG-2; BSL-BR; BSL-T1; BTH; Comment; Comment of event; DATE/TIME; Deuterium excess; Dogue-Haus; DPN; DRG; DRILL; Drilling/drill rig; Event label; FE01; FE02; Global Change and the Hydrological Cycle; GLOWA; GWB1; GWB2; GWB3; ID 1; ID 150; ID 182; ID 183; ID 19; ID 193; ID 194; ID 195; ID 2; ID 204; ID 205; ID 206; ID 207; ID 208; ID 215; ID 216; ID 217; ID 218; ID 219; ID 220; ID 221; ID 222; ID 223; ID 224; ID 225; ID 226; ID 228; ID 229; ID 230; ID 231; ID 233; ID 234; ID 235; ID 236; ID 237; ID 238; ID 239; ID 240; ID 241; ID 242; ID 243; ID 244; ID 245; ID 246; ID 247; ID 248; ID 249; ID 252; ID 253; ID 254; ID 255; ID 260; IGER-2; IMPETUS; KAW-2; KIK-6; KIKA; KIKA-2; Kota; KPS-B; Latitude of event; Longitude of event; MNG-2; MULT; Multiple investigations; NGY; OUB-1; OUN-1; OW01; OW02; OW03; OW04; OW05; OW06; OW07; OW08; OW09; OW10; P060; PAP; PELE-1; PEN; Porcupine Abyssal Plain; Sample type; Sampling Well; SARM-1; SER-4; Surface water sample; SWS; TER-2; TER-B; TER-SM; WARI-P; Water sample; WELL; WEWE-2; WS; δ18O; δ Deuterium
    Type: Dataset
    Format: text/tab-separated-values, 810 data points
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  • 235
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    PANGAEA
    Publication Date: 2023-03-09
    Keywords: Benin, West Africa; Comment; Compass; Dip; Dogue-Haus; Global Change and the Hydrological Cycle; GLOWA; ID 215; Identification; IMPETUS; Minerals; Strike; Type
    Type: Dataset
    Format: text/tab-separated-values, 443 data points
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  • 236
    facet.materialart.
    Unknown
    PANGAEA
    Publication Date: 2023-03-09
    Keywords: ADJ-2; BAKU; BDOG1; BDOG2; Benin, West Africa; BG-2; BODI; BRG-2; BSL-BR; BTH; DATE/TIME; Dogue-Haus; DRG; DRILL; Drilling/drill rig; Event label; Global Change and the Hydrological Cycle; GLOWA; GWB1; ID 1; ID 2; ID 215; ID 218; ID 220; ID 221; ID 223; ID 225; ID 226; ID 228; ID 229; ID 230; ID 231; ID 233; ID 234; ID 236; ID 237; ID 238; ID 239; ID 240; ID 241; ID 242; ID 243; ID 244; ID 245; ID 253; ID 254; ID 255; IMPETUS; KAW-2; KIK-6; KIKA-2; Kota; KPS-B; Latitude of event; Longitude of event; MNG-2; MULT; Multiple investigations; NGY; OUB-1; P060; PAP; PELE-1; PEN; Porcupine Abyssal Plain; Sampling Well; SARM-1; SER-4; Surface water sample; SWS; TER-B; TER-SM; Tritium; Water sample; WELL; WEWE-2; WS
    Type: Dataset
    Format: text/tab-separated-values, 32 data points
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  • 237
    Publication Date: 2023-03-03
    Description: Heavy (magnetic & non-magnetic) minerals are found concentrated by natural processes in many fluvial, estuarine, coastal and shelf environments with a potential to form economic placer deposits. Understanding the processes of heavy mineral transport and enrichment is prerequisite to interpret sediment magnetic properties in terms of hydro- and sediment dynamics. In this study, we combine rock magnetic and sedimentological laboratory measurements with numerical 3D discrete element models to investigate differential grain entrainment and transport rates of magnetic minerals in a range of coastal environments (riverbed, mouth, estuary, beach and near-shore). We analyzed grain-size distributions of representative bulk samples and their magnetic mineral fractions to relate grain-size modes to respective transport modes (traction, saltation, suspension). Rock magnetic measurements showed that distribution shapes, population sizes and grain-size offsets of bulk and magnetic mineral fractions hold information on the transport conditions and enrichment process in each depositional environment. A downstream decrease in magnetite grain size and an increase in magnetite concentration was observed from riverine source to marine sink environments. Lower flow velocities permit differential settling of light and heavy mineral grains creating heavy mineral enriched zones in estuary settings, while lighter minerals are washed out further into the sea. Numerical model results showed that higher heavy mineral concentrations in the bed increased the erosion rate and enhancing heavy mineral enrichment. In beach environments where sediments contained light and heavy mineral grains of equivalent grain sizes, the bed was found to be more stable with negligible amount of erosion compared to other bed compositions. Heavy mineral transport rates calculated for four different bed compositions showed that increasing heavy mineral content in the bed decreased the transport rate. There is always a lag in transport between light and heavy minerals which increases with higher heavy mineral concentration in all tested bed compositions. The results of laboratory experiments were validated by numerical models and showed good agreement. We demonstrate that the presented approach bears the potential to investigate heavy mineral enrichment processes in a wide range of sedimentary settings.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 238
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    PANGAEA
    In:  Supplement to: Collins, James A; Schefuß, Enno; Mulitza, Stefan; Prange, Matthias; Werner, Martin; Tharammal, Thejna; Paul, André; Wefer, Gerold (2013): Estimating the hydrogen isotopic composition of past precipitation using leaf-waxes from western Africa. Quaternary Science Reviews, 65, 88-101, https://doi.org/10.1016/j.quascirev.2013.01.007
    Publication Date: 2023-03-03
    Description: The hydrogen isotopic composition of plant leaf-wax n-alkanes (dDwax) is a novel proxy for estimating dD of past precipitation (dDp). However, vegetation life-form and relative humidity exert secondary effects on dDwax, preventing quantitative estimates of past dDp. Here, we present an approach for removing the effect of vegetation-type and relative humidity from dDwax and thus for directly estimating past dDp. We test this approach on modern day (late Holocene; 0-3 ka) sediments from a transect of 9 marine cores spanning 21°N-23°S off the western coast of Africa. We estimate vegetation type (C3 tree versus C4 grass) using d13C of leaf-wax n-alkanes and correct dDwax for vegetation-type with previously-derived apparent fractionation factors for each vegetation type. Late Holocene vegetation-corrected dDwax (dDvc) displays a good fit with modern-day dDp, suggesting that the effects of vegetation type and relative humidity have both been removed and thus that dDvc is a good estimate of dDp. We find that the magnitude of the effect of C3 tree - C4 grass changes on dDwax is small compared to dDp changes. We go on to estimate dDvc for the mid-Holocene (6-8 ka), the Last Glacial Maximum (LGM; 19-23 ka) and Heinrich Stadial 1 (HS1; 16-18.5 ka). In terms of past hydrological changes, our leaf-wax based estimates of dDp mostly reflect changes in wet season intensity, which is complementary to estimates of wet season length based on leaf-wax d13C.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 239
    facet.materialart.
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    PANGAEA
    In:  Supplement to: Leider, Arne; Hinrichs, Kai-Uwe; Schefuß, Enno; Versteegh, Gerard J M (2013): Distribution and stable isotopes of plant wax derived n-alkanes in lacustrine, fluvial and marine surface sediments along an Eastern Italian transect and their potential to reconstruct the hydrological cycle. Geochimica et Cosmochimica Acta, 117, 16-32, https://doi.org/10.1016/j.gca.2013.04.018
    Publication Date: 2023-03-03
    Description: Reconstructing terrestrial water budgets is of prime importance for understanding past climate and environment. To shed more light on how plant-wax derived n-alkanes may be used for this purpose we investigated the distribution and stable isotopic compositions of hydrogen (dD) and carbon (d13C) of plant-wax derived n-C29 and -C31 alkanes in terrestrial, coastal and offshore surface sediments in relation to hydrology along a NW-SE transect east of the Italian Apennines from the Po River to the Eastern Gulf of Taranto. The plant wax average chain length increases southward and may relate to increasing temperature and/or aridity. The plant wax dD of the terrestrial and coastal samples also increases southward and mainly reflects changes in the dD of precipitation. The d13C of plant waxes is primarily interpreted in terms of C3 vegetation changes rather than varying contributions by C4 plants. The plant wax d13C-dD composition of the Po River and Apennine rivers differs considerably from that in southern Italy, and suggests a mainly southern source for plant waxes in marine sediments of the Gulf of Taranto. This calibration provides a basis for the reconstruction of past changes in the Italian water balance and n-alkane source areas.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 240
    facet.materialart.
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    PANGAEA
    In:  Supplement to: Dupont, Lydie M; Rommerskirchen, Florian; Mollenhauer, Gesine; Schefuß, Enno (2013): Miocene to Pliocene changes in South African hydrology and vegetation in relation to the expansion of C4 plants. Earth and Planetary Science Letters, 375, 408-417, https://doi.org/10.1016/j.epsl.2013.06.005
    Publication Date: 2023-03-03
    Description: Pollen and stable carbon (d13C) and hydrogen (dD) isotope ratios of terrestrial plant wax from the South Atlantic sediment core, ODP Site 1085, is used to reconstruct Miocene to Pliocene changes of vegetation and rainfall regime of western southern Africa. Our results reveal changes in the relative amount of precipitation and indicate a shift of the main moisture source from the Atlantic to the Indian Ocean during the onset of a major aridification 8 Ma ago. We emphasise the importance of declining precipitation during the expansion of C4 and CAM (mainly succulent) vegetation in South Africa. We suggest that the C4 plant expansion resulted from an increased equator-pole temperature gradient caused by the initiation of strong Atlantic Meridional Overturning Circulation following the shoaling of the Central American Seaway during the Late Miocene.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 241
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    PANGAEA
    In:  Supplement to: Hessler, Ines; Young, Martin; Holzwarth, Ulrike; Mohtadi, Mahyar; Lückge, Andreas; Behling, Hermann (2013): Imprint of eastern Indian Ocean surface oceanography on modern organic-walled dinoflagellate cyst assemblages. Marine Micropaleontology, 101, 89-105, https://doi.org/10.1016/j.marmicro.2013.02.005
    Publication Date: 2023-03-03
    Description: Assemblages of organic-walled dinoflagellate cysts (dinocysts) from 116 marine surface samples have been analysed to assess the relationship between the spatial distribution of dinocysts and modern local environmental conditions [e.g. sea surface temperature (SST), sea surface salinity (SSS), productivity] in the eastern Indian Ocean. Results from the percentage analysis and statistical methods such as multivariate ordination analysis and end-member modelling, indicate the existence of three distinct environmental and oceanographic regions in the study area. Region 1 is located in western and eastern Indonesia and controlled by high SSTs and a low nutrient content of the surface waters. The Indonesian Throughflow (ITF) region (Region 2) is dominated by heterotrophic dinocyst species reflecting the region's high productivity. Region 3 is encompassing the area offshore north-west and west Australia which is characterised by the water masses of the Leeuwin Current, a saline and nutrient depleted southward current featuring energetic eddies.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 242
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    PANGAEA
    In:  Supplement to: Kuhlmann, Jannis; Asioli, Alessandra; Strasser, Michael; Trincardi, Fabio; Huhn, Katrin (2014): Integrated Stratigraphic and Morphological Investigation of the Twin Slide Complex Offshore Southern Sicily. In: Krastel, Sebastian; Behrmann, Jan-Hinrich; Völker, David; Stipp, Michael; Berndt, Christian; Urgeles, Roger; Chaytor, Jason; Huhn, Katrin; Strasser, Michael; Harbitz, Carl Bonnevie (eds.), Submarine Mass Movements and Their Consequences, Advances in Natural and Technological Hazards Research, 37, Springer International Publishing, Cham, 583-594, https://doi.org/10.1007/978-3-319-00972-8_52
    Publication Date: 2023-03-03
    Description: The Holocene Twin Slides form the most recent of recurrent mass wasting events along the NE portion of Gela Basin within the Sicily Channel, central Mediterranean Sea. Here, we present new evidence on the morphological evolution and stratigraphic context of this coeval slide complex based on deepdrilled sediment sequences providing a 〉100 ka paleo-oceanographic record. Both Northern (NTS) and Southern Twin Slide (STS) involve two failure stages, a debris avalanche and a translational slide, but are strongly affected by distinct preconditioning factors linked to the older and buried Father Slide. Core-acoustic correlations suggest that sliding occurred along sub-horizontal weak layers reflecting abrupt physical changes in lithology or mechanical properties. Our results show further that headwall failure predominantly took place along sub-vertical normal faults, partly through reactivation of buried Father Slide headscarps.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 243
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    In:  Supplement to: Martínez Méndez, Gema; Hebbeln, Dierk; Mohtadi, Mahyar; Lamy, Frank; De Pol-Holz, Ricardo; Reyes-Macaya, Dharma; Freudenthal, Tim (2013): Changes in the advection of Antarctic Intermediate Water to the northern Chilean coast during the last 970 kyr. Paleoceanography, 28, 1-12, https://doi.org/10.1002/palo.20047
    Publication Date: 2023-03-03
    Description: The Antarctic Intermediate Water (AAIW) is a key player in global-scale oceanic overturning processes and an important conduit for heat, fresh water, and carbon transport. The AAIW past variability is poorly understood mainly due to the lack of sedimentary archives at intermediate water depths. We present records of benthic stable isotopes from sediments retrieved with the seafloor drill rig MARUM-MeBo at 956 m water depth off northern Chile (GeoB15016, 27°29.48'S, 71°07.58'W) that extend back to 970 ka. The sediments at this site are presently deposited at the boundary between AAIW and Pacific Deep Water (PDW). For previous peak interglacials, our results reveal similar benthic d13C values at site GeoB15016 and of a newly generated stack of benthic d13C from various deep Pacific cores representing the "average PDW." This suggests, unlike today, the absence of AAIW at the site and the presence of nearly pure PDW. In contrast, more positive d13C values at site GeoB15016 compared to the stack imply a considerable AAIW contribution during cold phases of interglacials and especially during glacials. Besides, we used three short sediment cores to reconstruct benthic d13C values from the AAIW core during the last glacial and found a d13C signature similar to today's. Assuming that this was the case also for the past 970 kyr, we demonstrate that sea level changes and latitudinal migrations of the AAIW formation site can only account for about 50% of the full range of past d13C increases at site GeoB15016 during cold periods. Other processes that could explain the remaining of the positive d13C anomalies are increases in glacial AAIW production and/or deeper convection of the AAIW with respect to preceding interglacials.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 11 datasets
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  • 244
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    In:  Supplement to: Römer, Miriam; Sahling, Heiko; Pape, Thomas; dos Santos Ferreira, Christian; Wenzhöfer, Frank; Boetius, Antje; Bohrmann, Gerhard (2013): Methane fluxes and carbonate deposits at a cold seep area of the Central Nile Deep Sea Fan, Eastern Mediterranean Sea. Marine Geology, 27-42, https://doi.org/10.1016/j.margeo.2013.10.011
    Publication Date: 2023-03-03
    Description: High acoustic seafloor-backscatter signals characterize hundreds of patches of methane-derived authigenic carbonates and chemosynthetic communities associated with hydrocarbon seepage on the Nile Deep Sea Fan (NDSF) in the Eastern Mediterranean Sea. During a high-resolution ship-based multibeam survey covering a ~ 225 km**2 large seafloor area in the Central Province of the NDSF we identified 163 high-backscatter patches at water depths between 1500 and 1800 m, and investigated the source, composition, turnover, flux and fate of emitted hydrocarbons. Systematic Parasound single beam echosounder surveys of the water column showed hydroacoustic anomalies (flares), indicative of gas bubble streams, above 8% of the high-backscatter patches. In echosounder records flares disappeared in the water column close to the upper limit of the gas hydrate stability zone located at about 1350 m water depth due to decomposition of gas hydrate skins and subsequent gas dissolution. Visual inspection of three high-backscatter patches demonstrated that sediment cementation has led to the formation of continuous flat pavements of authigenic carbonates typically 100 to 300 m in diameter. Volume estimates, considering results from high-resolution autonomous underwater vehicle (AUV)-based multibeam mapping, were used to calculate the amount of carbonate-bound carbon stored in these slabs. Additionally, the flux of methane bubbles emitted at one high-backscatter patch was estimated (0.23 to 2.3 × 10**6 mol a**-1) by combined AUV flare mapping with visual observations by remotely operated vehicle (ROV). Another high-backscatter patch characterized by single carbonate pieces, which were widely distributed and interspaced with sediments inhabited by thiotrophic, chemosynthetic organisms, was investigated using in situ measurements with a benthic chamber and ex situ sediment core incubation and allowed for estimates of the methane consumption (0.1 to 1 × 10**6 mol a**-1) and dissolved methane flux (2 to 48 × 10**6 mol a**-1). Our comparison of dissolved and gaseous methane fluxes as well as methane-derived carbonate reservoirs demonstrates the need for quantitative assessment of these different methane escape routes and their interaction with the geo-, bio-, and hydrosphere at cold seeps.
    Keywords: Center for Marine Environmental Sciences; HERMIONE; Hotspot Ecosystem Research and Mans Impact On European Seas; MARUM
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 245
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    In:  Supplement to: Bartzke, Gerhard; Bryan, Karin R; Pilditch, Conrad A; Huhn, Katrin (2013): On the stabilizing influence of silt on sand beds. Journal of Sedimentary Research, 83(8), 691-703, https://doi.org/10.2110/jsr.2013.57
    Publication Date: 2023-03-03
    Description: In marine environments, sediments from different sources are stirred and dispersed, generating beds that are composed of mixed and layered sediments of differing grain sizes. Traditional engineering formulations used to predict erosion thresholds are however, generally for unimodal sediment distributions, and so may be inadequate for commonly occurring coastal sediments. We tested the transport behavior of deposited and mixed sediment beds consisting of a simplified two-grain fraction (silt (D50 = 55 µm) and sand (D50 = 300 µm)) in a laboratory-based annular flume with the objective of investigating the parameters controlling the stability of a sediment bed. To mimic recent deposition of particles following large storm events and the longer-term result of the incorporation of fines in coarse sediment, we designed two suites of experiments: (1) "the layering experiment": in which a sandy bed was covered by a thin layer of silt of varying thickness (0.2 - 3 mm; 0.5 - 3.7 wt %, dry weight in a layer 10 cm deep); and (2) "the mixing experiment" where the bed was composed of sand homogeneously mixed with small amounts of silt (0.07 - 0.7 wt %, dry weight). To initiate erosion and to detect a possible stabilizing effect in both settings, we increased the flow speeds in increments up to 0.30 m/s. Results showed that the sediment bed (or the underlying sand bed in the case of the layering experiment) stabilized with increasing silt composition. The increasing sediment stability was defined by a shift of the initial threshold conditions towards higher flow speeds, combined with, in the case of the mixed bed, decreasing erosion rates. Our results show that even extremely low concentrations of silt play a stabilizing role (1.4% silt (wt %) on a layered sediment bed of 10 cm thickness). In the case of a mixed sediment bed, 0.18% silt (wt %, in a sample of 10 cm depth) stabilized the bed. Both cases show that the depositional history of the sediment fractions can change the erosion characteristics of the seabed. These observations are summarized in a conceptual model that suggests that, in addition to the effect on surface roughness, silt stabilizes the sand bed by pore-space plugging and reducing the inflow in the bed, and hence increases the bed stability. Measurements of hydraulic conductivity on similar bed assemblages qualitatively supported this conclusion by showing that silt could decrease the permeability by up to 22% in the case of a layered bed and by up to 70% in the case of a mixed bed.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 11 datasets
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  • 246
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    In:  Supplement to: Basse, Andreas; Zhu, Chun; Versteegh, Gerard J M; Fischer, Gerhard; Hinrichs, Kai-Uwe; Mollenhauer, Gesine (2014): Distribution of intact and core tetraether lipids in water column profiles of suspended particulate matter off Cape Blanc, NW Africa. Organic Geochemistry, https://doi.org/10.1016/j.orggeochem.2014.04.007
    Publication Date: 2023-03-03
    Description: In the reconstruction of sea surface temperature (SST) from sedimentary archives, secondary sources, lateral transport and selective preservation are considered to be mainly negligible in terms of influencing the primary signal. This is also true for the archaeal glycerol dialkyl glycerol tetraethers (GDGTs) that form the basis for the TEX86 SST proxy. Our samples represent four years variability on a transect off Cape Blanc (NW Africa). We studied the subsurface production, vertical and lateral transport of intact polar lipids and core GDGTs in the water column at high vertical resolution on the basis of suspended particulate matter (SPM) samples from the photic zone, the subsurface oxygen minimum zone (OMZ), nepheloid layers (NL) and the water column between these. Furthermore we compared the water column SPM GDGT composition with that in underlying surface sediments. This is the first study that reports TEX86 values from the precursor intact polar lipids (IPLs) associated with specific head groups (IPL -specific TEX86). We show a clear deviation from the sea surface GDGT composition in the OMZ between 300 and 600 m. Since neither lateral transport nor selective degradation provides a satisfactory explanation for the observed TEX-derived temperature profiles with a bias towards higher temperatures for both core- and IPL -specific TEX86 values, we suggest that subsurface in situ production of archaea with a distinct relationship between lipid biosynthesis and temperature is the responsible mechanism. However, in the NW-African upwelling system the GDGT contribution of the OMZ to the surface sediments does not seem to affect the sedimentary TEX86 as it shows no bias and still reflects the signal of the surface waters between 0 and 60 m.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 247
    Publication Date: 2023-02-28
    Keywords: Colony forming units; Hemocyte count; Length; Month; Number; Phagocytosis rate; Sample code/label; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 8235 data points
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  • 248
    Publication Date: 2023-03-03
    Keywords: Aongatete-River; Center for Marine Environmental Sciences; DEPTH, sediment/rock; Event label; Hand (plastic-shovel); HPS; MARUM; MS2B Bartington Meter and Cryogenic Magnetometer; Susceptibility, specific; Tanners-River; Tauranga Harbour, New Zealand; Te-Puna-River; Tuapiro-River; Uretara-River; Waiau-River; Waihi-River; Wainui-River; Waipapa-River; Wairoa-River
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 249
    Publication Date: 2023-03-03
    Keywords: Anhysteretic remanent magnetization, Intensity, per unit mass; Aongatete-River; ARM/IRM; Center for Marine Environmental Sciences; DEPTH, sediment/rock; Event label; Hand (plastic-shovel); HPS; MARUM; MS2B Bartington Meter and Cryogenic Magnetometer; Saturation isothermal remanent magnetization; Susceptibility, specific; Tanners-River; Tauranga Harbour, New Zealand; Te-Puna-River; Tuapiro-River; Uretara-River; Waiau-River; Waihi-River; Wainui-River; Waipapa-River; Wairoa-River
    Type: Dataset
    Format: text/tab-separated-values, 40 data points
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  • 250
    Publication Date: 2023-03-03
    Keywords: Anhysteretic remanent magnetization; Area/locality; ARM/IRM; Center for Marine Environmental Sciences; DEPTH, sediment/rock; Event label; Hard isothermal remanent magnetization; IRM/Susceptibility, per unit volume; MARUM; MS2B Bartington Meter and Cryogenic Magnetometer; NB-1-01; NB-1-02; NB-1-03; NB-1-04; NB-1-05; NB-2-01; NB-2-02; NB-2-03; NB-2-04; NB-2-05; NB-2-06; NB-2-08; NB-2-09; NB-2-10; NB-3-01; NB-3-02; NB-3-03; NB-3-05; NB-3-06; NB-3-07; NB-3-08; NB-3-10; NB-4-01; NB-4-02; NB-4-03; NB-4-04; NB-4-05; NB-4-06; NB-4-07; NB-4-08; NB-4-09; NB-4-10; Northern Basin, Tauranga Harbour; NRC100; NRC101; NRC102; NRC103; NRC104; NRC105; NRC106; NRC108; NRC109; NRC110; NRC111; NRC112; NRC113; NRC114; NRC115; NRC116; NRC117; NRC118; NRC119; NRC120; NRC121; NRC122; NRC123; NRC124; NRC125; NRC126; NRC127; NRC128; NRC129; NRC130; NRC131; NRC132; NRC133; NRC134; NRC135; NRC136; NRC137; NRC138; NRC139; NRC140; NRC141; NRC142; NRC143; NRC144; NRC145; NRC270; NRC271; NRC272; NRC273; NRC274; NRC275; NRC276; NRC277; NRC278; NRC279; NRC280; NRC281; NRC282; NRC283; NRC284; NRC285; NRC286; NRC287; NRC288; NRC289; NRC290; NRC291; NRC292; NRC293; NRC31; NRC32; NRC33; NRC34; NRC35; NRC36; NRC37; NRC38; NRC39; NRC40; NRC41; NRC42; NRC43; NRC44; NRC45; NRC46; NRC47; NRC48; NRC49; NRC50; NRC51; NRC52; NRC53; NRC54; NRC55; NRC60; NRC61; NRC62; NRC63; NRC64; NRC65; NRC66; NRC78; NRC79; NRC80; NRC81; NRC82; NRC83; NRC84; NRC85; NRC86; NRC87; NRC88; NRC89; NRC90; NRC91; NRC92; NRC95; NRC96; NRC97; NRC98; NRC99; Profile TH-1; Profile TH-2; Profile - TH-3; Profile - TH-4; Profile - TH-5; S-ratio (hematite/magnetite); Susceptibility, specific; Tai Rangahau; Tauranga Harbour; TR_02_2010; TR_11_2012; van Veen Grab; VGRAB
    Type: Dataset
    Format: text/tab-separated-values, 1233 data points
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  • 251
    Publication Date: 2023-03-03
    Keywords: 314-C0001B; Chikyu; Date/time start; Demagnetization level; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DRILL; Drilling/drill rig; Exp314; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; MAG; Magnetometer; NanTroSEIZE Stage 1: LWD Transect; NRM, Declination; NRM, Inclination; NRM, Intensity; Sample code/label; Sample code/label 2
    Type: Dataset
    Format: text/tab-separated-values, 30617 data points
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  • 252
    Publication Date: 2023-03-02
    Keywords: Age, comment; Age, error; Age, maximum/old; Age, minimum/young; Age model; CALYPSO; Calypso Corer; Comment; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Marion Dufresne (1995); MD02-2588; MD02-2588Q; MD128; Southern Ocean; SWAF
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
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  • 253
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    In:  Supplement to: Fischer, David; Mogollón, José M; Strasser, Michael; Pape, Thomas; Bohrmann, Gerhard; Fekete, Noemi; Spieß, Volkhard; Kasten, Sabine (2013): Subduction zone earthquake as potential trigger of submarine hydrocarbon seepage. Nature Geoscience, 6(8), 647-651, https://doi.org/10.1038/ngeo1886
    Publication Date: 2023-03-03
    Description: Methane, a potent greenhouse gas, is abundant in marine sediments**1, 2. Submarine seepage of methane-dominated hydrocarbons is heterogeneous in space and time, and mechanisms that can trigger episodic seep events are poorly understood**2, 3, 4. For example, critical gas pressures have been predicted to develop beneath impermeable sediments that bear gas hydrates, making them susceptible to mechanical failure and gas release**5, 6. Gas hydrates often occur in seismically active regions, but the role of earthquakes as triggers of hydrocarbon seepage through gas-hydrate-bearing sediments has been only superficially addressed**7, 8. Here we present geochemical analyses of sediment cores retrieved from the convergent margin off Pakistan. We find that a substantial increase in the upward flux of gas occurred within a few decades of a Mw 8.1 earthquake in 1945-the strongest earthquake reported for the Arabian Sea. Our seismic reflection data suggest that co-seismic shaking fractured gas-hydrate-bearing sediments, creating pathways for the free gas to migrate from a shallow reservoir within the gas hydrate stability zone into the water column. We conservatively estimate that 3.26×10**8 mol of methane have been discharged from the seep site since the earthquake. We therefore suggest that hydrocarbon seepage triggered by earthquakes needs to be considered in local and global carbon budgets at active continental margins.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 254
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    In:  Supplement to: Bender, Vera Barbara; Hanebuth, Till J J; Chiessi, Cristiano Mazur (2013): Holocene shifts of the Subtropical Shelf Front off southeastern South America controlled by high and low latitude atmospheric forcings. Paleoceanography, https://doi.org/10.1002/palo.20044
    Publication Date: 2023-03-03
    Description: Over the Uruguayan shelf and uppermost slope the coalescence of northward flowing Subantarctic Shelf Water and southward flowing Subtropical Shelf Water forms a distinct thermohaline front termed the Subtropical Shelf Front (STSF). Running in a SW direction diagonally across the shelf from the coastal waters at 32°S towards the shelf break at ca. 36°S, the STSF represents the shelf-ward extension of the Brazil-Malvinas Confluence zone. This study reconstructs latitudinal STSF shifts during the Holocene based on benthic foraminifera d18O and d13C, total organic carbon, carbonate contents, Ti/Ca, and grain-size distribution from a high-accumulation sedimentary record located at an uppermost continental-slope terrace. Our data provide direct evidence for: (1) a southern STSF position (to the South of the core site) at the beginning of the early Holocene (〉9.4 cal ka BP) linked to a more southerly position of the Southern Westerly Winds in combination with restricted shelf circulation intensity due to lower sea level; (2) a gradual STSF northward migration (bypassing the core site towards the North) primarily forced by the northward migration of the Southern Westerly Winds from 9.4 cal ka BP onwards; (3) a relatively stable position of the front in the interval between 7.2 and 4.0 cal ka BP; (4) millennial-scale latitudinal oscillations close to 36°S of the STSF after 4.0 cal ka BP probably linked to the intensification in El Niño Southern Oscillation; and (5) a southward migration of the STSF during the last 200 years possibly linked to anthropogenic influences on the atmosphere.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 255
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    In:  Supplement to: Fink, Hiske G; Wienberg, Claudia; De Pol-Holz, Ricardo; Wintersteller, Paul; Hebbeln, Dierk (2013): Cold-water coral growth in the Alboran Sea related to high productivity during the Late Pleistocene and Holocene. Marine Geology, 339, 71-82, https://doi.org/10.1016/j.margeo.2013.04.009
    Publication Date: 2023-03-03
    Description: Cold-water corals are common along the Moroccan continental margin off Melilla in the Alboran Sea (western Mediterranean Sea), where they colonise and largely cover mound and ridge structures. Radiocarbon ages of the reef-forming coral species Lophelia pertusa and Madrepora oculata sampled from those structures, reveal that they were prolific in this area during the last glacial-interglacial transition with pronounced growth periods covering the Bølling-Allerød interstadial (13.5-12.8 ka BP) and the Early Holocene (11.3-9.8 ka BP). Their proliferation during these periods is expressed in vertical accumulation rates for an individual coral ridge of 266-419 cm ka**-1 that consists of coral fragments embedded in a hemipelagic sediment matrix. Following a period of coral absence, as noted in the records, cold-water corals re-colonised the area during the Mid-Holocene (5.4 ka BP) and underwater photographs indicate that corals currently thrive there. It appears that periods of sustained cold-water coral growth in the Melilla Coral Province were closely linked to phases of high marine productivity. The increased productivity was related to the deglacial formation of the most recent organic rich layer in the western Mediterranean Sea and to the development of modern circulation patterns in the Alboran Sea.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 256
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    PANGAEA
    In:  Supplement to: Voigt, Ines; Henrich, Rüdiger; Preu, Benedikt; Piola, Alberto R; Hanebuth, Till J J; Schwenk, Tilmann; Chiessi, Cristiano Mazur (2013): A submarine canyon as a climate archive — Interaction of the Antarctic Intermediate Water with the Mar del Plata Canyon (Southwest Atlantic). Marine Geology, 341, 46-57, https://doi.org/10.1016/j.margeo.2013.05.002
    Publication Date: 2023-03-03
    Description: The Mar del Plata Canyon is located at the continental margin off northern Argentina in a key intermediate and deep-water oceanographic setting. In this region, strong contour currents shape the continental margin by eroding, transporting and depositing sediments. These currents generate various depositional and erosive features which together are described as a Contourite Depositional System (CDS). The Mar del Plata Canyon intersects the CDS, and does not have any obvious connection to the shelf or to an onshore sediment source. Here we present the sedimentary processes that act in the canyon and show that continuous Holocene sedimentation is related to intermediate-water current activity. The Holocene deposits in the canyon are strongly bioturbated and consist mainly of the terrigenous "sortable silt" fraction (10-63 µm) without primary structures, similarly to drift deposits. We propose that the Mar del Plata Canyon interacts with an intermediate-depth nepheloid layer generated by the northward-flowing Antarctic Intermediate Water (AAIW). This interaction results in rapid and continuous deposition of coarse silt sediments inside the canyon with an average sedimentation rate of 160 cm/kyr during the Holocene. We conclude that the presence of the Mar del Plata Canyon decreases the transport capacity of AAIW, in particular of its deepest portion that is associated with the nepheloid layer, which in turn generates a change in the contourite deposition pattern around the canyon. Since sedimentation processes in the Mar del Plata Canyon indicate a response to changes of AAIW contour-current strength related to Late Glacial/Holocene variability, the sediments deposited within the canyon are a great climate archive for paleoceanographic reconstructions. Moreover, an additional involvement of (hemi) pelagic sediments indicates episodic productivity events in response to changes in upper ocean circulation possibly associated with Holocene changes in intensity of El Niño/Southern Oscillation.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 9 datasets
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  • 257
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    In:  Supplement to: Mohtadi, Mahyar; Bergmann, Fenna; Blanquera, Ralph Vinzon; Buleka, Joe; Carag, John Warner; Carriére-Garwood, Jessica; Dassié, Emilie Pauline; Fernando, Allan Gil; Gernhardt, Fabian; Ghasemifard, Homa; Groeneveld, Jeroen; Hathorne, Ed C; Huang, C C; Huang, Enqing; Janßen, Christoph Gregor; Kerrigan, Elizabeth; Kienast, Markus; Kremer, Anne; Kwiatkowski, Cornelia; Lehnen, Christina; Lückge, Andreas; Mai, Anh Hoang; Martínez Méndez, Gema; Meyer-Schack, Birgit; Nishibayashi, Mark Hacker; Plaß, Anna; Quevedo, Jay Mar; Rincon, Miguel; Schwenk, Tilmann; Seeba, Hanno; Setiawan, Riza Yuliratno; Steinke, Stephan; Tevlone, Amanda; Wenau, Stefan; Yu, Pai-Sen (2013): Report and preliminary results of RV SONNE cruise SO-228, Kaohsiung-Townsville, 04.05.2013-23.06.2013, EISPAC-WESTWIND-SIODP. Berichte aus dem MARUM und dem Fachbereich Geowissenschaften der Universität Bremen, 295, 110 pp, urn:nbn:de:gbv:46-00103343-13
    Publication Date: 2023-03-03
    Description: The core descriptions (chapter 7) summarize the most important results of the analysis of each sediment core following procedures applied during ODP/IODP expeditions. All cores were opened, described, and color-scanned. In the core descriptions the first column displays the lithological data that are based on visual analysis of the core and are supplemented by information from binocular and smear slide analyses. The sediment classification largely follows ODP/IODP convention. Lithological names consist of a principal name based on composition, degree of lithification, and/or texture as determined from visual description and microscopic observations. In the structure column the intensity of bioturbation together with individual or special features (turbidites, volcanic ash layers, plant debris, shell fragments, etc.) is shown. The hue and chroma attributes of color were determined by comparison with the Munsell soil color charts and are given in the color column in the Munsell notation. A GretagMacbethTM Spectrolino spectrophotometer was used to measure percent reflectance values of sediment color at 36 wavelength channels over the visible light range (380-730 nm) on all of the cores. The digital reflectance data of the spectrophotometer readings were routinely obtained from the surface (measured in 1 cm steps) of the split cores (archive half). The Spectrolino is equipped with a measuring aperture with folding mechanism allowing an exact positioning on the split core and is connected to a portable computer. The data are directly displayed within the software package Excel and can be controlled simultaneously. From all the color measurements, for each core the red/blue ratio (700 nm/450 nm) and the lightness are shown together with the visual core description. The reflectance of individual wavelengths is often significantly affected by the presence of minor amounts of oxyhydroxides or sulphides. To eliminate these effects, we used the red/blue ratio and lightness.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 37 datasets
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  • 258
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    In:  Supplement to: Mompeán, Carmen; Bode, Antonio; Benítez-Barrios, Verónica M; Domínguez-Yanes, J Francisco; Escánez, José; Eugenio, Fraile-Nuez (2013): Spatial patterns of plankton biomass and stable isotopes reflect the influence of the nitrogen-fixer Trichodesmium along the subtropical North Atlantic. Journal of Plankton Research, 35(3), 513-525, https://doi.org/10.1093/plankt/fbt011
    Publication Date: 2023-03-07
    Description: The spatial variability of biomass and stable isotopes in plankton size fractions in the upper 200 m was studied in a high spatial resolution transect along 24°N from Canary Islands to Florida (January - March 2011) during Leg 8 of the Malaspina-2010 expedition (http://www.expedicionmalaspina.es) to determine nitrogen and carbon sources. Plankton samples were collected by vertical tows of a microplankton net (40 mm mesh size) and a mesoplankton net (200 mm mesh size) through the upper 200 m of the water column. Sampling was between 10:00 and 16:00 h GMT. Plankton was separated into five size fractions (40 - 200, 200 - 500, 500 - 1000, 1000 - 2000 and 〉 2000 mm) by gentle filtration of the samples by a graded series of nylon sieves (2000, 1000, 500, 200 and 40 mm). Large gelatinous organisms were removed before filtration. Aliquots for each size fraction were collected on pre-weighed glass-fibre filters, dried (60°C, 48 h) and stored in a desiccator before determination of biomass (dry weight), carbon and nitrogen content and natural abundance of stable carbon and nitrogen isotopes ashore. Vertical advection of waters predominated in lateral zones while the central Atlantic (30-70°W) was characterized by a strong stratification and oligotrophic surface waters. Plankton biomass was low in the central zone and high in both eastern and western sides, with most of the variability due to either large (〉2000 µm) and small plankton (〈500 µm). Carbon isotopes reflected mainly the advection the deep water in lateral zones. Stable nitrogen isotopes showed a nearly symmetrical spatial distribution in all fractions, with the lowest values (delta15N 〈1per mill) in the central zone, and were inversely correlated to carbon stable isotopes (delta13C) and to the abundance of the nitrogen-fixer Trichodesmium. Diazotrophy was estimated to account for 〉50% of organic nitrogen in the central zone, and even 〉30% in eastern and western zones. The impact of diazotrophy increased with the size of the organisms, supporting the wide participation of all trophic levels in the processing of recently fixed nitrogen. These results indicate that atmospheric sources of carbon and nitrogen prevail over deep water sources in the subtropical North Atlantic and that the zone influenced by diazotrophy is much larger than reported in previous studies.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; Element analyser CHNS-O, Carlo Erba EA1108; EURO-BASIN; Event label; Latitude of event; Longitude of event; MALASPINA_LEG8; MALASPINA_LEG8_012-1; MALASPINA_LEG8_016-1; MALASPINA_LEG8_020-1; MALASPINA_LEG8_024-1; MALASPINA_LEG8_027-1; MALASPINA_LEG8_030-1; MALASPINA_LEG8_033-1; MALASPINA_LEG8_037-1; MALASPINA_LEG8_039-1; MALASPINA_LEG8_040-1; MALASPINA_LEG8_043-1; MALASPINA_LEG8_045-1; MALASPINA_LEG8_048-1; MALASPINA_LEG8_052-1; MALASPINA_LEG8_055-1; MALASPINA_LEG8_059-1; MALASPINA_LEG8_061-1; MALASPINA_LEG8_064-1; MALASPINA_LEG8_068-1; MALASPINA_LEG8_071-1; MALASPINA_LEG8_075-1; MALASPINA_LEG8_078-1; MALASPINA_LEG8_082-1; MALASPINA_LEG8_085-1; MALASPINA_LEG8_088-1; MALASPINA_LEG8_091-1; MALASPINA_LEG8_094-1; MALASPINA_LEG8_097-1; MALASPINA_LEG8_100-1; MALASPINA_LEG8_104-1; MALASPINA_LEG8_107-1; MALASPINA_LEG8_110-1; MALASPINA_LEG8_113-1; MALASPINA_LEG8_116-1; MALASPINA_LEG8_120-1; MALASPINA_LEG8_125-1; MALASPINA_LEG8_128-1; MALASPINA_LEG8_133-1; MALASPINA_LEG8_137-1; MALASPINA_LEG8_143-1; MALASPINA_LEG8_149-1; MALASPINA_LEG8_157-1; MALASPINA_LEG8_161-1; MALASPINA-2010; Malaspina circumnavigation expedition; Mass spectrometer Finnigan Delta Plus; MSN; Multiple opening/closing net; Plankton, biomass as carbon; Plankton, biomass as dry weight; Plankton, biomass as nitrogen; Sarmiento de Gamboa; station: 012; station: 016; station: 020; station: 024; station: 027; station: 030; station: 033; station: 037; station: 039; station: 040; station: 043; station: 045; station: 048; station: 052; station: 055; station: 059; station: 061-1; station: 064; station: 068; station: 071-1; station: 075; station: 078-1; station: 082; station: 085; station: 088; station: 091; station: 094; station: 097; station: 100; station: 104; station: 107; station: 110; station: 113; station: 116; station: 120; station: 125; station: 128; station: 133; station: 137; station: 143; station: 149; station: 157; station: 161-1; Subtropical North Atlantic; Weighted; δ13C, plankton; δ15N, plankton
    Type: Dataset
    Format: text/tab-separated-values, 1161 data points
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  • 259
    Publication Date: 2023-02-24
    Keywords: Aminopeptidase activity; beta-glucosidase activity; Chitobiase activity; Date/Time of event; DEPTH, sediment/rock; ECO2; ECO2-3; ECO2-3-FT-EA1; ECO2-3-FT-EA10; ECO2-3-FT-EA11; ECO2-3-FT-EA2; ECO2-3-FT-EA3; ECO2-3-FT-EA5; ECO2-3-FT-EA6; ECO2-3-FT-EA7; ECO2-3-FT-EA9; Esterase activity per sediment volume; Event label; Fluorometry; Hand push corer; HSR; Latitude of event; Longitude of event; Panarea; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 50 data points
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  • 260
    Publication Date: 2023-02-24
    Keywords: Chlorophyll a; Date/Time of event; DEPTH, sediment/rock; ECO2; ECO2-3; ECO2-3-PUC-10a; ECO2-3-PUC-10c; ECO2-3-PUC-12d; ECO2-3-PUC-13d; ECO2-3-PUC-13f; ECO2-3-PUC-14b; ECO2-3-PUC-16c; ECO2-3-PUC-17b; ECO2-3-PUC-17d; ECO2-3-PUC-3b; ECO2-3-PUC-3c; ECO2-3-PUC-5c; ECO2-3-PUC-6b; ECO2-3-PUC-6e; ECO2-3-PUC-6g; ECO2-3-PUC-7b; ECO2-3-PUC-8e; ECO2-3-PUC-9a; ECO2-3-PUC-9b; Event label; Fluorometry (Boetius et al. 2000); Latitude of event; Longitude of event; Panarea; Phaeopigments; PUC; Push corer; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 76 data points
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  • 261
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    PANGAEA
    In:  Supplement to: Wirth, Stefanie B; Glur, Lukas; Gilli, Adrian; Anselmetti, Flavio S (2013): Holocene flood frequency across the Central Alps - solar forcing and evidence for variations in North Atlantic atmospheric circulation. Quaternary Science Reviews, 80, 112-128, https://doi.org/10.1016/j.quascirev.2013.09.002
    Publication Date: 2023-03-11
    Description: The frequency of large-scale heavy precipitation events in the European Alps is expected to undergo substantial changes with current climate change. Hence, knowledge about the past natural variability of floods caused by heavy precipitation constitutes important input for climate projections. We present a comprehensive Holocene (10,000 years) reconstruction of the flood frequency in the Central European Alps combining 15 lacustrine sediment records. These records provide an extensive catalog of flood deposits, which were generated by flood-induced underflows delivering terrestrial material to the lake floors. The multi-archive approach allows suppressing local weather patterns, such as thunderstorms, from the obtained climate signal. We reconstructed mainly late spring to fall events since ice cover and precipitation in form of snow in winter at high-altitude study sites do inhibit the generation of flood layers. We found that flood frequency was higher during cool periods, coinciding with lows in solar activity. In addition, flood occurrence shows periodicities that are also observed in reconstructions of solar activity from 14C and 10Be records (2500-3000, 900-1200, as well as of about 710, 500, 350, 208 (Suess cycle), 150, 104 and 87 (Gleissberg cycle) years). As atmospheric mechanism, we propose an expansion/shrinking of the Hadley cell with increasing/decreasing air temperature, causing dry/wet conditions in Central Europe during phases of high/low solar activity. Furthermore, differences between the flood patterns from the Northern Alps and the Southern Alps indicate changes in North Atlantic circulation. Enhanced flood occurrence in the South compared to the North suggests a pronounced southward position of the Westerlies and/or blocking over the northern North Atlantic, hence resembling a negative NAO state (most distinct from 4.2 to 2.4 kyr BP and during the Little Ice Age). South-Alpine flood activity therefore provides a qualitative record of variations in a paleo-NAO pattern during the Holocene. Additionally, increased South Alpine flood activity contrasts to low precipitation in tropical Central America (Cariaco Basin) on the Holocene and centennial time scale. This observation is consistent with a Holocene southward migration of the Atlantic circulation system, and hence of the ITCZ, driven by decreasing summer insolation in the Northern hemisphere, as well as with shorter-term fluctuations probably driven by solar activity.
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 262
    Publication Date: 2023-03-11
    Keywords: AGE; Flood activity; Lowpass filtered, 100a
    Type: Dataset
    Format: text/tab-separated-values, 20122 data points
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  • 263
    Publication Date: 2023-03-03
    Keywords: AGE; Center for Marine Environmental Sciences; COMPCORE; Composite Core; MARUM; PDW; δ13C; δ18O
    Type: Dataset
    Format: text/tab-separated-values, 1000 data points
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  • 264
    Publication Date: 2023-03-03
    Keywords: 64PE327; 64PE327_1-CTD; 64PE327_2-CTD; 64PE327_3-CTD; 64PE327_4-CTD; 64PE327_5-CTD; 64PE327_6-CTD; 64PE327_7-CTD; 64PE329; 64PE329_1-CTD; 64PE329_2-CTD; 64PE329_3-CTD; 64PE329_4-CTD; 64PE329_5-CTD; 64PE329_6-CTD; 64PE329_7-CTD; 64PE337; 64PE337_1-CTD; 64PE337_2-CTD; 64PE337_3-CTD; 64PE337_4-CTD; 64PE337_5-CTD; 64PE337_6-CTD; 64PE337_7-CTD; 64PE343; 64PE343_1-CTD; 64PE343_2-CTD; 64PE343_3-CTD; 64PE343_4-CTD; 64PE343_5-CTD; 64PE343_6-CTD; 64PE343_7-CTD; Ammonium; Campaign of event; CHARLET/NICYCLE; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Hexose-phosphohexose; Latitude of event; Longitude of event; NICYCLE/FOKUZ; NICYCLE/FOKUZ II; NICYCLE/FOKUZ III; Nitrate; Nitrite; North Sea; Pelagia; Phosphate; Salinity; Silicate; Temperature, water; Thaumarchaeota DNA gene copies; Thaumarchaeota DNA gene copies, standard deviation; Thaumarchaeota RNA gene copies; Thaumarchaeota RNA gene copies, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 439 data points
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  • 265
    Publication Date: 2023-03-03
    Keywords: 64PE327; 64PE327_1-MUC; 64PE327_2-MUC; 64PE327_3-MUC; 64PE327_4-MUC; 64PE327_5-MUC; 64PE327_6-MUC; 64PE327_7-MUC; 64PE329; 64PE329_1-MUC; 64PE329_2-MUC; 64PE329_3-MUC; 64PE329_4-MUC; 64PE329_5-MUC; 64PE329_6-MUC; 64PE329_7-MUC; 64PE337; 64PE337_1-MUC; 64PE337_2-MUC; 64PE337_3-MUC; 64PE337_4-MUC; 64PE337_5-MUC; 64PE337_6-MUC; 64PE337_7-MUC; 64PE343; 64PE343_1-MUC; 64PE343_2-MUC; 64PE343_3-MUC; 64PE343_4-MUC; 64PE343_5-MUC; 64PE343_6-MUC; 64PE343_7-MUC; Ammonium; Campaign of event; Carbon, organic, total; CHARLET/NICYCLE; Date/Time of event; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; Hexose-phosphohexose; Latitude of event; Longitude of event; Median, grain size; MUC; MultiCorer; NICYCLE/FOKUZ; NICYCLE/FOKUZ II; NICYCLE/FOKUZ III; Nitrate; Nitrite; North Sea; Pelagia; Phosphate; Silicate; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 0.125-0.063 mm, 3.0-4.0 phi, very fine sand; Size fraction 0.250-0.125 mm, 2.0-3.0 phi, fine sand; Size fraction 0.500-0.250 mm, 1.0-2.0 phi, medium sand; Thaumarchaeota DNA gene copies; Thaumarchaeota DNA gene copies, standard deviation; Thaumarchaeota RNA gene copies; Thaumarchaeota RNA gene copies, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 240 data points
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  • 266
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    Unknown
    PANGAEA
    In:  Hellenic Center of Marine Research, Institut of Oceanography, Greece
    Publication Date: 2023-03-07
    Keywords: Aegaeo; Aegean Sea; Bottle, Niskin 8-L; Date/Time of event; DEPTH, water; Event label; Latitude of event; LIA07; LIA-7-GN3619880010724607; LIA-7-GN3619880010725301; LIA-7-GN3619880010725310; LIA-7-GN3619880010725605; LIA-7-GN3619880010725702; LIA-7-GN3619880010726208; LIA-7-GN3619880010726301; LIA-7-GN3619880010726406; LIA-7-GN3619880010726509; LIA-7-GN3619880010726702; LIA-7-GN3619880010726709; LIA-7-GN3619880010726806; LIA-7-GN3619880010726904; LIA-7-GN3619880010727401; LIA-7-GN3619880010727501; LIA-7-GN3619880010727602; LIA-7-GN3619880010728401; LIA-7-GN3619880010728402; LIA-7-GN3619880010728406; LIA-7-GN3619880010728501; LIA-7-GN3619880010728502; LIA-7-GN3619880010728601; LIA-7-GN3619880010728602; LIA-7-GN3619880010729002; LIA-7-GN3619880010729301; LIA-7-GN3619880010729302; LIA-7-GN3619880010729401; LIA-7-GN3619880010729402; LIA-7-GN3619880010729501; LIA-7-GN3619880010729502; LIA-7-GN3619880010729504; LIA-7-GN3619880010729508; LIA-7-GN3619880010739901; LIA-7-GN3619880010780401; LIA-7-GN3619880010780402; LIA-7-GN3619880010780404; LIA-7-GN3619880010780410; LIA-7-GN3619880010780413; LIA-7-GN3619880010780501; LIA-7-GN3619880010780502; LIA-7-GN3619880010780503; LIA-7-GN3619880010780508; LIA-7-GN3619880010780509; LIA-7-GN3619880010790901; Longitude of event; NIS_8L; Nitrate; Nitrite; Oxygen; Oxygen, apparent utilization; Oxygen saturation; Phosphate; SESAME; Silicate; Southern European Seas: Assessing and Modelling Ecosystem Changes
    Type: Dataset
    Format: text/tab-separated-values, 3446 data points
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  • 267
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    Unknown
    PANGAEA
    In:  Hellenic Center of Marine Research, Institut of Oceanography, Greece
    Publication Date: 2023-03-07
    Keywords: A92; A92-GN3619920270224502; A92-GN3619920270225810; A92-GN3619920270225817; A92-GN3619920270226704; A92-GN3619920270226804; Aegaeo; Aegean Sea; Bottle, Niskin 8-L; Chlorophyll, fluorometric determination (Holm-Hansen et al., 1965); Chlorophyll a; Date/Time of event; DEPTH, water; Event label; Latitude of event; Longitude of event; NIS_8L; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 268
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    Unknown
    PANGAEA
    In:  Hellenic Center of Marine Research, Institut of Oceanography, Greece
    Publication Date: 2023-03-07
    Keywords: Aegaeo; Aegean Sea; Bottle, Niskin 8-L; Chlorophyll, fluorometric determination (Holm-Hansen et al., 1965); Chlorophyll a; Date/Time of event; DEPTH, water; Event label; Latitude of event; LIA10; LIA-10-GN3619890011028401; LIA-10-GN3619890011028401r; LIA-10-GN3619890011028402; LIA-10-GN3619890011028403; LIA-10-GN3619890011028501; LIA-10-GN3619890011028502; LIA-10-GN3619890011028601; LIA-10-GN3619890011028602; LIA-10-GN3619890011029301; LIA-10-GN3619890011029401; LIA-10-GN3619890011029501; LIA-10-GN3619890011029502; LIA-10-GN3619890011080401; LIA-10-GN3619890011080501; Longitude of event; NIS_8L; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes
    Type: Dataset
    Format: text/tab-separated-values, 103 data points
    Location Call Number Expected Availability
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  • 269
    facet.materialart.
    Unknown
    PANGAEA
    In:  Hellenic Center of Marine Research, Institut of Oceanography, Greece
    Publication Date: 2023-03-07
    Keywords: Aegaeo; Aegean Sea; Bottle, Niskin 8-L; Chlorophyll, fluorometric determination (Holm-Hansen et al., 1965); Chlorophyll a; Date/Time of event; DEPTH, water; Event label; Latitude of event; LIA06; LIA-6-GN3619870010625310; LIA-6-GN3619870010625605; LIA-6-GN3619870010626103; LIA-6-GN3619870010626208; LIA-6-GN3619870010626702; LIA-6-GN3619870010626904; LIA-6-GN3619870010628003; LIA-6-GN3619870010628104; LIA-6-GN3619870010629301; LIA-6-GN3619870010629401; LIA-6-GN3619870010629501; LIA-6-GN3619870010680502; LIA-6-GN3619870010690901; Longitude of event; NIS_8L; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes
    Type: Dataset
    Format: text/tab-separated-values, 92 data points
    Location Call Number Expected Availability
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  • 270
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    PANGAEA
    In:  Hellenic Center of Marine Research, Institut of Oceanography, Greece
    Publication Date: 2023-03-07
    Keywords: Aegaeo; Aegean Sea; Bottle, Niskin 8-L; Chlorophyll, fluorometric determination (Holm-Hansen et al., 1965); Chlorophyll a; Date/Time of event; DEPTH, water; Event label; Latitude of event; LIA07; LIA-7-GN3619880010724607; LIA-7-GN3619880010725301; LIA-7-GN3619880010725310; LIA-7-GN3619880010725605; LIA-7-GN3619880010725702; LIA-7-GN3619880010726208; LIA-7-GN3619880010726301; LIA-7-GN3619880010726406; LIA-7-GN3619880010726509; LIA-7-GN3619880010726702; LIA-7-GN3619880010726709; LIA-7-GN3619880010726806; LIA-7-GN3619880010726904; LIA-7-GN3619880010727101; LIA-7-GN3619880010727401; LIA-7-GN3619880010727501; LIA-7-GN3619880010727602; LIA-7-GN3619880010728401; LIA-7-GN3619880010728402; LIA-7-GN3619880010728406; LIA-7-GN3619880010728501; LIA-7-GN3619880010728502; LIA-7-GN3619880010728601; LIA-7-GN3619880010728602; LIA-7-GN3619880010729002; LIA-7-GN3619880010729301; LIA-7-GN3619880010729302; LIA-7-GN3619880010729401; LIA-7-GN3619880010729501; LIA-7-GN3619880010729502; LIA-7-GN3619880010729504; LIA-7-GN3619880010739901; LIA-7-GN3619880010780401; LIA-7-GN3619880010780410; LIA-7-GN3619880010780413; LIA-7-GN3619880010780501; LIA-7-GN3619880010780502; LIA-7-GN3619880010780508; LIA-7-GN3619880010780509; LIA-7-GN3619880010790901; Longitude of event; NIS_8L; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes
    Type: Dataset
    Format: text/tab-separated-values, 298 data points
    Location Call Number Expected Availability
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  • 271
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    PANGAEA
    In:  Hellenic Center of Marine Research, Institut of Oceanography, Greece
    Publication Date: 2023-03-07
    Keywords: Aegaeo; Aegean Sea; Bottle, Niskin 8-L; Chlorophyll, fluorometric determination (Holm-Hansen et al., 1965); Chlorophyll a; Date/Time of event; DEPTH, water; Event label; Latitude of event; Longitude of event; NIS_8L; O91; O91-GN3619910270124203; O91-GN3619910270124303; O91-GN3619910270124304; O91-GN3619910270124404; O91-GN3619910270124405; O91-GN3619910270124502; O91-GN3619910270124504; O91-GN3619910270124603; O91-GN3619910270124605; O91-GN3619910270124607; O91-GN3619910270124630; O91-GN3619910270124702; O91-GN3619910270124703; O91-GN3619910270124830; O91-GN3619910270125002; O91-GN3619910270125003; O91-GN3619910270125101; O91-GN3619910270125102; O91-GN3619910270125103; O91-GN3619910270125104; O91-GN3619910270125201; O91-GN3619910270125202; O91-GN3619910270125204; O91-GN3619910270125301; O91-GN3619910270125303; O91-GN3619910270125304; O91-GN3619910270125307; O91-GN3619910270125602; O91-GN3619910270125706; O91-GN3619910270125707; O91-GN3619910270125709; O91-GN3619910270125810; O91-GN3619910270125817; O91-GN3619910270126001; O91-GN3619910270126002; O91-GN3619910270126003; O91-GN3619910270126102; O91-GN3619910270126103; O91-GN3619910270126201; O91-GN3619910270126301; O91-GN3619910270126306; O91-GN3619910270126404; O91-GN3619910270126502; O91-GN3619910270126603; O91-GN3619910270126605; O91-GN3619910270126701; O91-GN3619910270126703; O91-GN3619910270126704; O91-GN3619910270126801; O91-GN3619910270126804; O91-GN3619910270127003; O91-GN3619910270127004; O91-GN3619910270127102; O91-GN3619910270128001; O91-GN3619910270129001; O91-GN3619910270135901; O91-GN3619910270136902; O91-GN3619910270136903; O91-GN3619910270136904; O91-GN3619910270137904; O91-GN3619910270138903; O91-GN3619910270139903; O91-GN3619910270190901; O91-GN36199102701KS3b; O91-GN36199102701KS5b; O91-GN36199102701KY3i; O91-GN36199102701KY5i; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes
    Type: Dataset
    Format: text/tab-separated-values, 396 data points
    Location Call Number Expected Availability
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  • 272
    Publication Date: 2023-03-07
    Keywords: Abundance per volume; Akademik Nikolaj Strakhov; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; EMTEC; EMT-Zoo1; EMT-Zoo14; EMT-Zoo17; EMT-Zoo19; EMT-Zoo21; EMT-Zoo23; EMT-Zoo29; EMT-Zoo34; EMT-Zoo5; EMT-Zoo9; Event label; Ionian Sea; Ionic Sea; Latitude of event; Longitude of event; Mediterranean Sea; Minerva; Nansen closing net; NN; POEM091-Zoo13; POEM091-Zoo20; POEM091-Zoo21; POEM091-Zoo26; POEM091-Zoo30; POEM091-Zoo34; POEM091-Zoo4; POEM091-Zoo42; POEM091-Zoo6; POEM091-Zoo9; POEMA92; POEMA92-Zoo1; POEMA92-Zoo15; POEMA92-Zoo17; POEMA92-Zoo22; POEMA92-Zoo7; POEMA92-Zoo9; POEM-BC-091b; POEM-BC-O91a; SESAME; Shikmona; SIN4-Zoo1; SIN4-Zoo10; SIN4-Zoo11; SIN4-Zoo12; SIN4-Zoo14; SIN4-Zoo15; SIN4-Zoo17; SIN4-Zoo18; SIN4-Zoo19; SIN4-Zoo2; SIN4-Zoo20; SIN4-Zoo3; SIN4-Zoo4; SIN4-Zoo5; SIN4-Zoo8; SIN4-Zoo9; Sinapsi4; Southern European Seas: Assessing and Modelling Ecosystem Changes; Taxon/taxa; Uniform resource locator/link to reference; Urania; WP3; WP-3 towed closing plankton net
    Type: Dataset
    Format: text/tab-separated-values, 555 data points
    Location Call Number Expected Availability
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  • 273
    Publication Date: 2023-03-07
    Keywords: A92; A92-GN3619920270226502wp2; A92-GN3619920270226605wp2; A92-GN3619920270226704wp2; Abundance per volume; Aegaeo; Aegean Sea; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Latitude of event; Longitude of event; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes; Taxon/taxa; Uniform resource locator/link to reference; WP2; WP-2 towed closing plankton net
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 274
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; Corumba_reservoir; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 29264 data points
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  • 275
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Funil_reservoir; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 6372 data points
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  • 276
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Furnas_reservoir; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 13827 data points
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  • 277
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Furnas_reservoir; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 1734 data points
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  • 278
    facet.materialart.
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    PANGAEA
    In:  Supplement to: Kraft, Angelina; Bauerfeind, Eduard; Nöthig, Eva-Maria; Klages, Michael; Beszczynska-Möller, Agnieszka; Bathmann, Ulrich (2013): Amphipods in sediment traps of the eastern Fram Strait with focus on the life-history of the lysianassoid Cyclocaris guilelmi. Deep Sea Research Part I: Oceanographic Research Papers, 73, 62-72, https://doi.org/10.1016/j.dsr.2012.11.012
    Publication Date: 2023-03-16
    Description: Life-cycle characteristics of the free-swimming lysianassoid amphipod Cyclocaris guilelmi were investigated and compared to those of other regularly appearing amphipods in the Arctic deep-sea community. In this context we analysed time-series data of meso- and bathypelagic amphipods collected as swimmers in moored sediment traps from 2004 to 2008 at the deep-sea long-term observatory HAUSGARTEN (79°N/4°E) in the eastern Fram Strait, Arctic Ocean. Six mesopelagic and three bathypelagic deep-sea amphipod species regularly occurred in the traps. The lysianassoid C. guilelmi showed a stable interannual population size and seasonal peaks in its occurrence from August to February during the five-year sampling period. The investigation of its population structure and reproduction ecology indicated year-round breeding behavior of this species. Up to 4 cohorts consisting mainly of juvenile and female C. guilelmi were observed. We conclude that C. guilelmi plays an important role within the Arctic amphipod deep water community.
    Keywords: Hausgarten; Long-term Investigation at AWI-Hausgarten off Svalbard
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 279
    Publication Date: 2023-03-16
    Description: To reconstruct Recent and past sedimentary environments, marine sediments of Upper Pleistocene and Holocene ages from the eastern Arctic Ocean and especially from the Nansen-Gakkel Ridge (NGR) were investigated by means of radioisotopic, geochemical and sedimentological methods. In combination with mass physical property data and lithological analysis these investigations allow clearly to characterize the depositional environments. Age dating by using the radioisotope 230Th gives evidence that the investigated sediments from the NGR are younger than 250,000 years. Identical lithological sediment sequences within and between sediment cores from the NGR can be related to sedimentary processes which are clearly controlled by palaeoclimate. The sediments consist predominantly of siliciclastic, terrigenous ice-rafted detritus (IRD) deriving from assorted and redeposited sediments from the Siberian shelfs. By their geochemical composition the sediments are similar to mudstone, graywacke and arcose. Sea-ice as well as icebergs play a major roll in marine arctic sedimentation. In the NGR area rapid change in sedimentary conditions can be detected 128,000 years ago. This was due to drastic change in the kind of ice cover, resulting from rapid climatic change within only hundreds of years. So icebergs, deriving mostly from Siberian shelfs, vanished and sea-ice became dominant in the eastern Arctic Ocean. At least three short-period retreats of the shelf ice between 186,000 and 128,000 years are responsible for the change of coarse to fine-grained sediments in the NGR area. These warmer stages lasted between 1,000 and 3,000 years. By monitoring and comparing the distribution patterns of sedimentologic, mass physical and geochemical properties with 230Th ex activity distribution patterns in the sediment cores from the NGR, there is clear evidence that sediment dilution is responsible for high 230Th ex activity variations. Thus sedimentation rate is the controlling factor of 230Th ex activity variations. The 230Th flux density in sediments from the NGR seems to be highly dependent On topographic Position. The distribution patterns of chemical elements in sediment cores are in general governed by lithology. The derivation of a method for dry bulk density determination gave the opportunity to establish a high resolution stratigraphy on sediment cores from the eastern Arctic Ocean, based on 230Thex activity analyses. For the first time sedimentation and accumulation rates were determined for recent sediments in the eastern Arctic Ocean by 230Th ex analyses. Bulk accumulation rates are highly variable in space and time, ranging between 0.2 and 30 g/cm**2/ka. In the sediments from the NGR highly variable accumulation rates are related to the kind of ice cover. There is evidence for hydrothermal input into the sediments of the NGR. Hydrothermal activity probably also influences surficial sediments in the Sofia Basin. High contents of As are typical for surficial sediments from the NGR. In particular SL 370-20 from the bottom of the rift valley has As contents exceeding in parts 300 ppm. Hydrothermal activity can be traced back to at least 130,000 years. Recent to subrecent tectonic activity is documented by the rock debris in KAL 370 from the NGR. In four other sediment cores from the NGR rift valley area tectonically induced movements can be dated to about 130,000 years ago, related most probably to the rapid climate change. Processes of early diagenesis in sediments from the NGR caused the aobilization and redeposition of Fe, Mn and Mo. These diagenetic processes probably took place during the last 130,000 years. In sediment cores from the NGR high amounts of kaolinite are related to coarse grained siliciclastic material, probably indicating reworking and redeposition of siberian sandstones with kaolinitic binding material. In contrast to kaolinite, illite is correlated to total clay and 232Th contents. Aragonite, associated with serpentinites in the rift valley area of the NGR, was precipitated under cold bottom-water conditions. Preliminary data result in a time of formation about 60 - 80 ka ago. Manganese precipitates with high Ni contents, which can be related to the ultrabasic rocks, are of similar age.
    Keywords: AWI_Paleo; Paleoenvironmental Reconstructions from Marine Sediments @ AWI
    Type: Dataset
    Format: application/zip, 24 datasets
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  • 280
    Publication Date: 2023-03-18
    Keywords: Allen_Bay; Cornwallis Island, Nunavut, Canada; DATE/TIME; Date/time end; Location; Number; OBSE; Observation; Prey taxa; Species; Standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 281
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    In:  Supplement to: Verdon, James P; Kendall, Michael A; Stork, Anna L; Chadwick, R Andy; White, Don J; Bissell, Rob C (2013): Comparison of geomechanical deformation induced by megatonne-scale CO2 storage at Sleipner, Weyburn, and In Salah. Proceedings of the National Academy of Sciences of the United States of America, 110(30), E2762-E2771, https://doi.org/10.1073/pnas.1302156110
    Publication Date: 2023-03-18
    Description: Geological storage of CO2 that has been captured at large, point source emitters represents a key potential method for reduction of anthropogenic greenhouse gas emissions. However, this technology will only be viable if it can be guaranteed that injected CO2 will remain trapped in the subsurface for thousands of years or more. A significant issue for storage security is the geomechanical response of the reservoir. Concerns have been raised that geomechanical deformation induced by CO2 injection will create or reactivate fracture networks in the sealing caprocks, providing a pathway for CO2 leakage. In this paper, we examine three large-scale sites where CO2 is injected at rates of ab. 1 megatonne/y or more: Sleipner, Weyburn, and In Salah. We compare and contrast the observed geomechanical behavior of each site, with particular focus on the risks to storage security posed by geomechanical deformation. At Sleipner, the large, high-permeability storage aquifer has experienced little pore pressure increase over 15 y of injection, implying little possibility of geomechanical deformation. At Weyburn, 45 y of oil production has depleted pore pressures before increases associated with CO2 injection. The long history of the field has led to complicated, sometimes nonintuitive geomechanical deformation. At In Salah, injection into the water leg of a gas reservoir has increased pore pressures, leading to uplift and substantial microseismic activity. The differences in the geomechanical responses of these sites emphasize the need for systematic geomechanical appraisal before injection in any potential storage site.
    Keywords: ECO2; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: application/pdf, 152.9 kBytes
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  • 282
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    PANGAEA
    In:  Supplement to: McIntyre, Trevor; Stansfield, Lauren J; Bornemann, Horst; Plötz, Joachim; Bester, Marthán Nieuwoudt (2013): Hydrographic influences on the summer dive behaviour of Weddell seals (Leptonychotes weddellii) in Atka Bay, Antarctica. Polar Biology, 36(11), 1693-1700, https://doi.org/10.1007/s00300-013-1384-7
    Publication Date: 2023-04-21
    Description: In order to gain insights into species-level behavioural responses to the physical environment, it is necessary to obtain information from various populations and at all times of year. We analysed the influences of physical environmental parameters on the mid-summer dive behaviour of Weddell seals (Leptonychotes weddellii) from a little-known population at Atka Bay, Antarctica. Dive depth distributions followed a typical bimodal pattern also exhibited by seals from other populations and seals targeted both shallow water layers of 〈50 m and depths near the seafloor. Increased stratification of temperature layers within the water column resulted in increased forage efforts by the seals through relatively high numbers of dives to the seafloor, as well as forage effort associated with shallow dives. We interpret these behavioural responses to be due to increased water temperature stratification resulting in the concentration of prey species in particular depth layers.
    Keywords: Marine Mammal Tracking; MMT
    Type: Dataset
    Format: application/zip, 18 datasets
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  • 283
    Publication Date: 2023-04-21
    Keywords: ARGOS satellite-relayed data logger series 9000 CTD; DATE/TIME; LATITUDE; LONGITUDE; MAR2012; MAR2012_sel_a_f_16; Marine endotherm; Marine Mammal Tracking; Marion Island Research Station; MET; MMT; Positioning type/details; Southern Ocean - Indian sector
    Type: Dataset
    Format: text/tab-separated-values, 1303 data points
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  • 284
    Publication Date: 2023-04-21
    Keywords: ARGOS Location-only transmitter SPOT 5; DATE/TIME; LATITUDE; LONGITUDE; MAR2012; MAR2012_sel_s_f_05; Marine endotherm; Marine Mammal Tracking; Marion Island Research Station; MET; MMT; Positioning type/details; Southern Ocean - Indian sector
    Type: Dataset
    Format: text/tab-separated-values, 2995 data points
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  • 285
    Publication Date: 2023-04-21
    Keywords: ARGOS satellite-relayed data logger series 9000 CTD; DATE/TIME; LATITUDE; LONGITUDE; MAR2012; MAR2012_sel_a_m_18; Marine endotherm; Marine Mammal Tracking; Marion Island Research Station; MET; MMT; Positioning type/details; Southern Ocean - Indian sector
    Type: Dataset
    Format: text/tab-separated-values, 66 data points
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  • 286
    Publication Date: 2023-04-21
    Keywords: ARGOS Location-only transmitter SPOT 5; DATE/TIME; LATITUDE; LONGITUDE; MAR2012; MAR2012_sel_s_f_06; Marine endotherm; Marine Mammal Tracking; Marion Island Research Station; MET; MMT; Positioning type/details; Southern Ocean - Indian sector
    Type: Dataset
    Format: text/tab-separated-values, 4134 data points
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  • 287
    Publication Date: 2023-04-21
    Keywords: ARGOS Location-only transmitter SPOT 5; DATE/TIME; LATITUDE; LONGITUDE; MAR2012; MAR2012_sel_s_f_10; Marine endotherm; Marine Mammal Tracking; Marion Island Research Station; MET; MMT; Positioning type/details; Southern Ocean - Indian sector
    Type: Dataset
    Format: text/tab-separated-values, 325 data points
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  • 288
    Publication Date: 2023-04-21
    Keywords: ARGOS Location-only transmitter SPOT 5; DATE/TIME; LATITUDE; LONGITUDE; MAR2012; MAR2012_sel_s_f_13; Marine endotherm; Marine Mammal Tracking; Marion Island Research Station; MET; MMT; Positioning type/details; Southern Ocean - Indian sector
    Type: Dataset
    Format: text/tab-separated-values, 2143 data points
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  • 289
    Publication Date: 2023-04-21
    Keywords: ARGOS Location-only transmitter SPOT 5; DATE/TIME; LATITUDE; LONGITUDE; MAR2012; MAR2012_sel_s_f_15; Marine endotherm; Marine Mammal Tracking; Marion Island Research Station; MET; MMT; Positioning type/details; Southern Ocean - Indian sector
    Type: Dataset
    Format: text/tab-separated-values, 1265 data points
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  • 290
    Publication Date: 2023-04-21
    Keywords: ARGOS Location-only transmitter SPOT 5; DATE/TIME; LATITUDE; LONGITUDE; MAR2012; MAR2012_sel_s_f_14; Marine endotherm; Marine Mammal Tracking; Marion Island Research Station; MET; MMT; Positioning type/details; Southern Ocean - Indian sector
    Type: Dataset
    Format: text/tab-separated-values, 2609 data points
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  • 291
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-04-21
    Keywords: ANT-XV/3, PS48; ARGOS satellite-linked; DATE/TIME; DRE1998; DRE1998_cra_a_f_14; DRE1998_cra_a_m_01; DRE1998_cra_a_m_02; DRE1998_cra_a_m_10; DRE1998_cra_s_f_09; DRE1998_cra_s_m_13; DRE1998_cra_y_m_05; DRE1998_cra_y_m_06; DRE1998_cra_y_m_07; DRE1998_cra_y_m_08; DRE1998_cra_y_m_11; DRE1998_cra_y_m_12; DRE1998_cra_y_m_15; Drescher Camp; Event label; LATITUDE; Lobodon carcinophaga; LONGITUDE; Marine endotherm; Marine Mammal Tracking; MET; MMT; Southern Ocean - Atlantic Sector
    Type: Dataset
    Format: text/tab-separated-values, 3427 data points
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  • 292
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-04-21
    Keywords: ANT-X/2, PS20; DATE/TIME; Dive, time depth profile; DRE1992; DRE1992_wed_a_f_04; Drescher Camp; Marine endotherm; Marine Mammal Tracking; MET; MMT; Time-depth recorder (TDR)
    Type: Dataset
    Format: text/tab-separated-values, 21562 data points
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  • 293
    Publication Date: 2023-04-21
    Keywords: ANT-X/2, PS20; DATE/TIME; Dive, stomach temperature profile; DRE1992; DRE1992_wed_s_f_06; Drescher Camp; Marine endotherm; Marine Mammal Tracking; MET; MMT; Stomach temperature recorder (STR)
    Type: Dataset
    Format: text/tab-separated-values, 17816 data points
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  • 294
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    PANGAEA
    In:  Supplement to: Chu, Kai; Winter, Christian; Hebbeln, Dierk; Schulz, Michael (2013): Improvement of morphodynamic modeling of tidal channel migration by nudging. Coastal Engineering, 77, 1-13, https://doi.org/10.1016/j.coastaleng.2013.02.004
    Publication Date: 2023-04-20
    Description: State-of-the-art process-based models have shown to be applicable to the simulation and prediction of coastal morphodynamics. On annual to decadal temporal scales, these models may show limitations in reproducing complex natural morphological evolution patterns, such as the movement of bars and tidal channels, e.g. the observed decadal migration of the Medem Channel in the Elbe Estuary, German Bight. Here a morphodynamic model is shown to simulate the hydrodynamics and sediment budgets of the domain to some extent, but fails to adequately reproduce the pronounced channel migration, due to the insufficient implementation of bank erosion processes. In order to allow for long-term simulations of the domain, a nudging method has been introduced to update the model-predicted bathymetries with observations. The model-predicted bathymetry is nudged towards true states in annual time steps. Sensitivity analysis of a user-defined correlation length scale, for the definition of the background error covariance matrix during the nudging procedure, suggests that the optimal error correlation length is similar to the grid cell size, here 80-90 m. Additionally, spatially heterogeneous correlation lengths produce more realistic channel depths than do spatially homogeneous correlation lengths. Consecutive application of the nudging method compensates for the (stand-alone) model prediction errors and corrects the channel migration pattern, with a Brier skill score of 0.78. The proposed nudging method in this study serves as an analytical approach to update model predictions towards a predefined 'true' state for the spatiotemporal interpolation of incomplete morphological data in long-term simulations.
    Keywords: Center for Marine Environmental Sciences; Depth, reconstructed; Distance; MARUM; Modelling system Delft3D and nudging
    Type: Dataset
    Format: text/tab-separated-values, 492 data points
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  • 295
    Publication Date: 2023-04-20
    Keywords: Acoustic Doppler Current Profiler; ADCP; Calculated; Center for Marine Environmental Sciences; Comment; DATE/TIME; LATITUDE; Latitude, additional; LONGITUDE; Longitude, additional; MARUM; North Sea; Roughness length; Senckenberg; Senckenberg_10_2009; Senckenberg_10_2009-track
    Type: Dataset
    Format: text/tab-separated-values, 40 data points
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  • 296
    Publication Date: 2023-04-20
    Keywords: Acoustic Doppler Current Profiler; ADCP; Calculated; Center for Marine Environmental Sciences; DATE/TIME; DEPTH, water; MARUM; North Sea; Primary bedform friction velocity; Primary bedform roughness length; Secondary bedform friction velocity; Secondary bedform roughness length; Senckenberg; Senckenberg_10_2009; Senckenberg_10_2009-track; Velocity direction; Velocity magnitude
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
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  • 297
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    PANGAEA
    In:  Supplement to: Ono, Shuhei; Keller, Nicole S; Rouxel, Olivier J; Alt, Jeffrey C (2012): Sulfur-33 constraints on the origin of secondary pyrite in altered oceanic basement. Geochimica et Cosmochimica Acta, 87, 323-340, https://doi.org/10.1016/j.gca.2012.04.016
    Publication Date: 2023-05-12
    Description: Low temperature alteration of oceanic basement rocks is characterized by net gain of sulfur, which commonly yields low d34S values, suggesting involvement of microbial sulfate reduction. In order to test whether secondary sulfide minerals are consistent with a biogenic source, we apply high precision multiple sulfur isotope analysis to bulk rock sulfide and pyrite isolates from two contrasting types of altered oceanic basement rocks, namely serpentinized peridotites and altered basalts. Samples from two peridotite sites (Iberian Margin and Hess Deep) and from a basalt site on the eastern flank of the Juan de Fuca Ridge yield overlapping d34S values ranging from 0 per mil to -44 per mil. In contrast, sulfides in the basalt site are characterized by relatively low D33S values ranging from -0.06 per mil to 0.04 per mil, compared to those from peridotite sites (0.00 per mil to 0.16 per mil). The observed D33S signal is significant considering the analytical precision of 0.014 per mil (2 sigma). We present a batch reaction model that uses observed d34S and D33S relationships to quantify the effect of closed system processes and constrain the isotope enrichment factor intrinsic to sulfate reduction. The estimated enrichment factors as large as 61 per mil and 53 per mil, for peridotite and basalt sites respectively, suggest the involvement of microbial sulfate reduction. The relatively high D33S values in the peridotite sites are due to sulfate reduction in a closed system environment, whereas negative D33S values in the basalt site reflect open system sulfate reduction. A larger extent of sulfate reduction during alteration of peridotite to serpentinite is consistent with its higher H2 production capacity compared to basalt alteration, and further supports in-situ microbial sulfate reduction coupled with H2 production during serpentinization reactions.
    Keywords: Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 298
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    PANGAEA
    In:  Supplement to: Bornemann, Horst; de Bruyn, P J Nico; Reisinger, Ryan R; Kästner, Sabine; Márquez, María Elba Isabel; McIntyre, Trevor; Bester, Marthán Nieuwoudt; Plötz, Joachim (2013): Tiletamine/zolazepam immobilization of adult post-moult southern elephant seal males. Polar Biology, 36(11), 1687-1692, https://doi.org/10.1007/s00300-013-1378-5
    Publication Date: 2023-05-12
    Description: Immobilization and anaesthesia of adult male southern elephant seals (Mirounga leonina) is potentially risky for animals and scientists. A tiletamine/zolazepam injection is considered the most appropriate drug combination for field application in this species. Since appropriate dosages are difficult to assess due to uncertainties in weight estimation, we used photogrammetry-derived weight estimates to ensure precise post hoc calculations of dosages. We report on 15 intramuscular tiletamine/zolazepam immobilizations of post-moult males of the upper weight class at King George Island/Isla 25 de Mayo, in April 2010. Initial injections were made using blowpipe syringes. Mean tiletamine/zolazepam combined dosages of 0.71 mg/kg (SD ± 0.16) ranged between 0.46 and 1.01 mg/kg. In four cases, ketamine was added in dosages between 0.96 and 2.61 mg/kg. Mean induction period was 23 min (± 15), and the mean duration of the procedures from first injection to release of the animals required 96 min (± 51). Four seals exhibited periods of apnoea, and one case of an extended, repetitive, and potentially critical apnoea (〉 25 and 8 min) required intervention in order to successfully re-initiate spontaneous respiration. All procedures resulted in proper immobilizations allowing for the deployment of the satellite tags on the seals' heads. The fact that even substantial deviations between the initial weight estimates and the photogrammetry-derived weight estimates had no apparent effect on the course of the immobilization underlines the drugs' wide safety margin in this species.
    Keywords: Marine Mammal Tracking; MMT
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 299
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    PANGAEA
    In:  Supplement to: Rosenbauer, Robert J; Foxgrover, Amy C; Hein, James R; Swarzenski, Peter W (2013): A Sr–Nd isotopic study of sand-sized sediment provenance and transport for the San Francisco Bay coastal system. Marine Geology, 345, 143-153, https://doi.org/10.1016/j.margeo.2013.01.002
    Publication Date: 2023-05-12
    Description: A diverse suite of geochemical tracers, including 87Sr/86Sr and 143Nd/144Nd isotope ratios, the rare earth elements (REEs), and select trace elements were used to determine sand-sized sediment provenance and transport pathways within the San Francisco Bay coastal system. This study complements a large interdisciplinary effort (Barnard et al., 2012) that seeks to better understand recent geomorphic change in a highly urbanized and dynamic estuarine-coastal setting. Sand-sized sediment provenance in this geologically complex system is important to estuarine resource managers and was assessed by examining the geographic distribution of this suite of geochemical tracers from the primary sources (fluvial and rock) throughout the bay, adjacent coast, and beaches. Due to their intrinsic geochemical nature, 143Nd/144Nd isotopic ratios provide the most resolved picture of where sediment in this system is likely sourced and how it moves through this estuarine system into the Pacific Ocean. For example, Nd isotopes confirm that the predominant source of sand-sized sediment to Suisun Bay, San Pablo Bay, and Central Bay is the Sierra Nevada Batholith via the Sacramento River, with lesser contributions from the Napa and San Joaquin Rivers. Isotopic ratios also reveal hot-spots of local sediment accumulation, such as the basalt and chert deposits around the Golden Gate Bridge and the high magnetite deposits of Ocean Beach. Sand-sized sediment that exits San Francisco Bay accumulates on the ebb-tidal delta and is in part conveyed southward by long-shore currents. Broadly, the geochemical tracers reveal a complex story of multiple sediment sources, dynamic intra-bay sediment mixing and reworking, and eventual dilution and transport by energetic marine processes. Combined geochemical results provide information on sediment movement into and through San Francisco Bay and further our understanding of how sustained anthropogenic activities which limit sediment inputs to the system (e.g., dike and dam construction) as well as those which directly remove sediments from within the Bay, such as aggregate mining and dredging, can have long-lasting effects.
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 300
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    PANGAEA
    In:  Supplement to: McGann, Mary L; Erikson, Li H; Wan, Elmira; Powell, Charles; Maddocks, Rosalie F (2013): Distribution of biologic, anthropogenic, and volcanic constituents as a proxy for sediment transport in the San Francisco Bay Coastal System. Marine Geology, 345, 113-142, https://doi.org/10.1016/j.margeo.2013.05.006
    Publication Date: 2023-05-12
    Description: Although conventional sediment parameters (mean grain size, sorting, and skewness) and provenance have typically been used to infer sediment transport pathways, most freshwater, brackish, and marine environments are also characterized by abundant sediment constituents of biological, and possibly anthropogenic and volcanic, origin that can provide additional insight into local sedimentary processes. The biota will be spatially distributed according to its response to environmental parameters such as water temperature, salinity, dissolved oxygen, organic carbon content, grain size, and intensity of currents and tidal flow, whereas the presence of anthropogenic and volcanic constituents will reflect proximity to source areas and whether they are fluvially- or aerially-transported. Because each of these constituents have a unique environmental signature, they are a more precise proxy for that source area than the conventional sedimentary process indicators. This San Francisco Bay Coastal System study demonstrates that by applying a multi-proxy approach, the primary sites of sediment transport can be identified. Many of these sites are far from where the constituents originated, showing that sediment transport is widespread in the region. Although not often used, identifying and interpreting the distribution of naturally-occurring and allochthonous biologic, anthropogenic, and volcanic sediment constituents is a powerful tool to aid in the investigation of sediment transport pathways in other coastal systems.
    Type: Dataset
    Format: application/zip, 4 datasets
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